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Credit Risk Model Validation

BMO Financial

Application Deadline:

Address:

320 S Canal Street

Job Family Group:

Audit, Risk & Compliance

BMO is seeking an experienced professional to join the Model Risk Management Team as Manager, Credit Risk Model Validation. This role is part of the second-line governance and control function, with a primary focus on validating credit risk models such as AIRB Capital models, adjudication, and account management models.

The position is primarily an individual contributor role, with opportunities for leadership. You will be responsible for performing model validation activities across different stages of the model life cycle, providing effective challenge to model developers, and communicating model risk findings to stakeholders.

This role is ideal for a professional with a strong quantitative background who thrives in a collaborative environment and is committed to advancing model risk governance.

Performs validation of models and assesses model risk to confirm model appropriateness and capability for a designated portfolio. Provides effective challenge during model development and communicates decisions regarding model use to the business to ensure transparency and understanding of models and model risks. Assesses model’s capabilities, stress points and limitations; assesses the associated model risk and the controls in place to mitigate identified risks.

Fosters a culture aligned to BMO purpose, values and strategy and role models BMO values and behaviours in all that they do.
Ensures alignment between values and behaviour that fosters diversity and inclusion.
Regularly connects work to BMO’s purpose, sets inspirational goals, defines clear expected outcomes, and ensures clear accountability for follow through.
Builds interdependent teams that collaborate across functional and operating groups to create the highest value for all stakeholders.
Attracts, retains, and enables the career development of top talent.
Improves team performance, recognizes and rewards performance, coaches employees, supports their development, and manages poor performance.
Acts as a trusted advisor to assigned business/group.
Influences and negotiates to achieve business objectives.
Recommends and implements solutions based on analysis of issues and implications for the business.
Assists in the development of strategic plans.
Identifies emerging issues and trends to inform decision-making.
Researches existing or emerging requirements & related best practices to assist and develops recommendations for changes/enhancements.
Helps determine business priorities and best sequence for execution of business/group strategy.
Conducts independent analysis and assessment to resolve strategic issues.
Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
Represents the model validation program / portfolio for internal/external regulatory audits and/or examinations.
Ensures alignment between stakeholders.
Builds change management plans of varying scope and type; leads or participates in a variety of change management activities including readiness assessments, planning, stakeholder management, execution, evaluation and sustainment of initiatives.
Leads the research and development for validation of new types of models.
Leads and integrates the monitoring, measurement & reporting of the status of the model validation program / portfolio to internal & external stakeholders.
Provides input into the planning and implementation of ongoing operational programs in support of the model vetting framework and portfolio.
Leads/participates in the design, implementation and management of core business/group processes.
Develops validation strategies and plans to ensure appropriate type and level of vetting of models is carried out.
Independently validates / tests models and their associated assumptions, benchmarks, and supporting documentation against model vesting process, standards, guidelines and principles; assesses the data for model development as well as inputs to the model; compares validation results with model developer results for replicability.
Identifies deficiencies, conditions for model use, recommends changes, and escalates as required; quantifies model risks, documents outcomes and communicates with stakeholders.
Identifies where corrective actions are required and escalates per guidelines; monitors and ensures corrective action is taken.
Provides technical advice and guidance to assigned business/group on implementation of the model vetting framework, and resolution of model risk issues.
Develops and maintains in-depth knowledge of business and related risk management requirements and legislative/ regulatory directives and guidance.
Builds effective relationships with internal/external stakeholders.
Ensures alignment between stakeholders.
Monitors and tracks performance; addresses any issues.
Coordinates and monitors the review and sign-off of model validation reporting including model inventory and model inventory attestations.
Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
Provides specialized consulting, analytical and technical support.
Exercises judgment to identify, diagnose, and solve problems within given rules.
Works independently and regularly handles non-routine situations.
Broader work or accountabilities may be assigned as needed.

Qualifications:
Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
Proficiency in Python and SAS is required; experience with other statistical software such as R is considered beneficial.
In-depth knowledge and understanding of model validation, model risk management practices.
In-depth knowledge of regulatory requirements.
In-depth knowledge & experience with risk policy frameworks; quality control / testing frameworks.in Finance/Economics areas (i.e., MBA).
Deep knowledge and technical proficiency gained through extensive education and business experience.
Verbal & written communication skills - In-depth.
Collaboration & team skills - In-depth.
Analytical and problem solving skills - In-depth.
Influence skills - In-depth.
Data driven decision making - In-depth.

Salary:

$74,000.00 - $138,000.00

Pay Type:

Salaried

The above represents BMO Financial Group’s pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

To find out more visit us at http://jobs.bmo.com/us/en

BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.

BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to BMOCareers.Support@bmo.com and let us know the nature of your request and your contact information.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

Data Analyst

BOOZ, ALLEN & HAMILTON, INC.

Camp Lejeune, NC, United States

The Opportunity:

As a Financial Data Analyst, you have a passion for transforming complex financial data into actionable insights for strategic decision making. You excel at analyzing budgetary execution, identifying fiscal trends, and forecasting resource requirements. As a client facing Financial Data Analyst on our team, you’ll work with the United States Marines to provide data driven recommendations that enhance fiscal responsibility, optimize resource allocation, and audit compliance. You’ll apply your deep knowledge of financial analysis and data visualization to build reports, dashboards, and models that provide clarity on spending, budget status, and financial health. You will work closely with your clients to understand their questions and challenges and then architect analytical solutions to support the command’s financial planning and execution.

Join us. The world can’t wait.

You Have:

Experience with financial data analysis, including budgeting, forecasting, and variance analysis
Experience with data visualization techniques and tools, including Power BI, Tableau, or Qlic
Experience with structured data using tools, including SQL, R, or Python programming languages
Experience translating raw financial data into clear, concise reports and dashboards for leadership
Experience with AI applications and use case solutions
Knowledge of DoD financial management principles and budget execution processes
Knowledge of statistical analysis and applying it to financial datasets
Secret clearance
Bachelor’s degree of science

Nice If You Have:

Experience with specific DoD financial management systems, such as GFEBS, SABRS, DEAMS
Experience with agile methodologies
Knowledge of USMC financial management policies and the Planning, Programming, Budgeting, and Execution (PPBE) process
Ability to communicate technical financial information to both technical and non-technical stakeholders
Master’s degree
Certified Defense Financial Manager (CDFM) Certification

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $61,900.00 to $141,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Investment Analyst – Portfolio Construction

FM

Waltham, Massachusetts

Job Description:

Established nearly two centuries ago, FM is a leading mutual insurance company whose capital, scientific research capability and engineering expertise are solely dedicated to property risk management and the resilience of its policyholder-owners. These owners, who share the belief that the majority of property loss is preventable, represent many of the world’s largest organizations, including one of every four Fortune 500 companies. They work with FM to better understand the hazards that can impact their business continuity to make cost-effective risk management decisions, combining property loss prevention with insurance protection.

Schedule and Location:

This is a full time position, office-based, in Waltham, MA and Boston, MA.

We are seeking a highly analytical and collaborative Investment Analyst to join our investment team. The analyst will support the team on portfolio construction, risk management, and investment strategy across major asset classes. It would require helping build and produce risk and exposure reports, conducting market and portfolio research, delivering analytics driven insights that inform risks and positioning across the portfolio. This position requires strong analytical skills and financial modeling expertise to support decision-making across the investment platform.

Apply quantitative and analytical techniques to support asset allocation, portfolio construction, and risk management across the total portfolio and individual asset classes.
Monitor and evaluate portfolio performance, attribution, and risk metrics.
Maintain and enhance internal tools and databases used for investment analysis and reporting.
Develop expertise in financial time series analysis, statistical methods, and advancements in quantitative finance.
Collaborate with investment operations, accounting, and other support functions to ensure seamless execution and reporting.
Produce and maintain periodic reports and screeners across various markets and asset classes.
Participate in webinars, conferences, and training sessions to stay current on developments in quantitative.
Research and implement relevant ideas from academic literature and practitioner research to improve portfolio outcomes.
Perform additional duties and ad-hoc analysis as needed.

Qualifications:

Bachelor’s or Master’s degree in a quantitative field (e.g., Finance, Economics, Mathematics, Engineering); prior investment industry experience is a plus but not required.
Programming skills, with proficiency in Python required; familiarity with Bloomberg, FactSet, BI tools, databases is a plus.
Excellent analytical and problem-solving skills with a keen attention to detail.
Demonstrated interest in investment management and quantitative finance.
Strong work ethic, positive attitude, and a collaborative, team-oriented mindset.
High sense of ownership and accountability.

The hiring range for this position is $105,760 to $152,000 annually. The final salary offer will vary based on individual education, skills, and experience. The position is eligible to participate in FM’s comprehensive Total Rewards program that includes an incentive plan, generous health and well-being programs, a 401(k) and pension plan, career development opportunities, tuition reimbursement, flexible work, time off allowances and much more.

FM is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce.

Data Engineer

BOOZ, ALLEN & HAMILTON, INC.

Honolulu, HI, United States

The Opportunity :
Booz Allen is seeking a Data Engineer or Data Scientist to support mission-critical projects leveraging Palantir Foundry. In this role, you will work closely with stakeholders to develop scalable data pipelines, build robust applications, and integrate various data sources to drive impactful decision-making. You’ll contribute to the full sof t war e development lifecycle, from requirements gathering to deployment and maintenance.

What You’ll Work On:

Develop and maintain Foundry pipelines using Pipeline Builder to ingest, transform, and integrate data.
Build modular applications and workflows leveraging TypeScript, Python, and Foundry AIP.
Collaborate with data engineers, analysts, and mission stakeholders to refine data models and ontology mapping.
Utilize code repositories such as Git to manage and version control development efforts.
Assist in Foundry workshops to guide stakeholders through platform capabilities.
Support testing, debugging, and performance tuning of Foundry applications.
Work in Agile development environments, contributing to sprint planning and retrospectives.

Join us. The world can’t wait.

You Have:

Experience with Palantir Foundry
Experience with Python or TypeScript
Experience with Pipeline Builder, AIP, and Foundry’s application development ecosystem
Experience with Git-based code repositories and CI / CD workflows
Ability to work in fast-paced, Agile environments
Secret clearance
Asso cia te’s degree and 1+ years of experience with data engineering, including application or sof t war e development in a professional environment, or 3+ years of experience with data engineering, including application or sof t war e development in a professional environment, in lieu of a degree

Nice If You Have:

Experience with the DoD
Experience working with Maven Smart Systems and Foundry AIP
Experience working with SharePoint, Dataverse, and Micro sof t Power Platform
Experience working in mission-oriented analytics or logistics-based data environments
Experience with data modeling, ontology mapping, or data visualization within Foundry
Knowledge of DevSecOps best practices and sof t war e lifecycle met hodologies
Possession of excellent problem-solving skills

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information ; Secret clearance is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Receptionist (Administrative)

LISA Academy

Little Rock, Arkansas

Pay: $16.00 per hour Job description: Job Description LISA Academy is a top public charter school in Arkansas. We're now hiring an experienced Secretary to help us keep growing. If you're a hard-working professional, LISA Academy is an excellent opportunity for you. Essential Duties & Accountabilities Greet visitors and guide them throughout the district offices, answer inquiries, and create a welcoming environment. Organize and maintain files and databases in a confidential manner. Manage communication including emails and phone calls. Screen phone calls, redirect calls, and take phone messages. Schedule appointments, meetings, meeting rooms, and reservations as needed. Receive deliveries; sort and distribute incoming mail and prepare and send outgoing mail. Maintain and order office supplies. Perform duties for the Superintendent and other Directors, as assigned. Qualifications & competencies: High School Diploma or GED 3 years experience in school office setting, preferred 1 year experience with Microsoft Office or Google Suite Must be able to pass background check. Detail-oriented Excellent organizational skills Proficient computer skills in Microsoft Office, Google, Skype, Zoom, etc. Ability to remain self-directed as well as independently seek out answers to questions Excellent communication skills Ability to learn new software programs as needed Ability to constantly review policies and procedures to increase efficiency Must demonstrate an extremely high regard for confidential and sensitive information. Why work for us? Competitive salaries and bonus pay Benefits offered, including medical, dental, vision, retirement (with employer contributions), PTO, and disability and life insurance Supportive, collaborative culture with incredible coworkers and leaders Comprehensive training, follow-up coaching, PD, and professional learning communities Extensive opportunities for career mobility/advancement as our schools and network continue to grow and expand to new areas The chance to truly make a difference in the lives of children who may not otherwise have access to a high-quality education Job Type: Full-time Job Type: Full-time Benefits: Dental insurance Health insurance Life insurance Paid time off Retirement plan Vision insurance Schedule: 8 hour shift Monday to Friday Work Location: In person

Data Scientist, Mid

BOOZ, ALLEN & HAMILTON, INC.

+5

The Opportunity:

As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artifi cia l intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors from fraud detection to cancer research, to national intelligence, we need you to help find the answers in the data.

On our team, you’ll use your leadership skills and data science expertise to create real-world impact. You’ll work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You’ll guide teammates and lead the development of algorithms and systems. You’ll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used.

Work with us as we use data science for good.

Join us. The world can’t wait.

You Have:

2+ years of experience using data science programming languages such as Python or R
Experience creating ETL pipelines, including querying APIs, cleaning and c ond itioning data, and creating schemas for data storage
Experience with version control tools, including git, GitLab, GitHub, or Bitbucket
Knowledge of statistical analysis, predictive modeling, and machine learning met hods
Ability to design and develop automated analytic sof tware, techniques, and algorithms
Ability to develop solutions and integrate and extend free and open-source sof tware ( FOSS ) or COTS products
Ability to generate data visualizations with tools such as Tableau, Power BI, or ArcGIS
TS / SCI clearance
Bachelor’s degree and 3+ years of experience in data science, or 7+ years of experience in data science in lieu of a degree

Nice If You Have:

Experience working with GEOINT, HUMINT, MASINT, OSINT, and SIGINT and the data and tools asso cia ted with these disciplines
Experience with intelligence or operations analysis in the DoD or Intelligence Community
Knowledge of DevOps, including CI / CD pipelines and Jenkins
TS/SCI clearance with a polygraph

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information ; TS/SCI clearance is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Manager, Data Scientist - Recommendation & Personalization Systems

+1

Manager, Data Scientist - Recommendation & Personalization Systems Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.

Team Description

Join an elite Applied AI team within AI Foundations, operating at the intersection of deep research and massive real-world impact. We are pioneering the next generation of personalized customer experiences across Capital One’s web and mobile applications, leveraging our high-scale ML models. Our core mission involves architecting and deploying cutting-edge personalized recommendation engines. This is powered by original research into homegrown Foundation Models , advanced Reinforcement Learning techniques, and a state-of-the-art scalable architecture built for billions of interactions. Our research agenda is at the forefront of the field, actively focusing on areas such as Causal Inference , Transformer-based architectures , and sophisticated Recommender Systems .

Role Description

In this role, you will:

Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data
Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
Flex your interpersonal skills to translate the complexity of your work into tangible business goals

The Ideal Candidate is:

Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers.
Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.
Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.

Basic Qualifications:

Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
- A Bachelor’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics
- A Master’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics
- A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics
At least 1 year of experience leveraging open source programming languages for large scale data analysis
At least 1 year of experience working with machine learning
At least 1 year of experience utilizing relational databases

Preferred Qualifications:

PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics
At least 3 years of hands-on experience building, deploying, and maintaining high-scale, production-grade ML systems using MLOps practices, including AWS, Kubeflow, and CI/CD pipelines
At least 4 years of experience in developing and optimizing state-of-the-art Deep Learning models, specifically Transformer-based architectures, using PyTorch and distributed training with multi-GPU optimization
At least 4 years of experience with high-performance, distributed data processing for petabyte-scale feature engineering using frameworks like DASK and PySpark

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

McLean, VA: $197,300 - $225,100 for Mgr, Data Science
New York, NY: $215,200 - $245,600 for Mgr, Data Science
San Jose, CA: $215,200 - $245,600 for Mgr, Data Science

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One’s recruiting process, please send an email to

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Modeling and Simulation Engineer, Senior

BOOZ, ALLEN & HAMILTON, INC.

Fort Meade, MD, United States

The Opportunity:

As an operations analyst, you’re passionate about exploring the root cause of an issue and then analyzing, reporting, and developing recommendations for a creative solution. We need an experienced research analyst like you to help us solve complex problems for our clients. On our analysis and application development team, you’ll help solve complex analytical problems, assist with developing process improvement solutions, and create applications and tools to enhance productivity.

You won’t go at it alone, you will help guide a team to develop study plans, c ond uct research, create models and tools, brief decision makers, and write reports.

In this role, you’ll use your passion for analytics and statistics to devise modeling and measuring techniques utilizing mathematics, statistical methods, engineering methods, operational mathematics techniques such as linear programming, simulation, task automation, and other principles and laws of scientific and economic disciplines.

Use your operations research knowledge to develop technologies and concepts that advance efficiencies for IC and DoD customers.

Join us. The world can’t wait.

You Have:

10+ years of experience with c ond ucting analysis of management and operational problems using operations research techniques
4+ years of experience with the application of modeling and simulation to address decision analysis problems
4+ years of experience c ond ucting multiple objective decision analysis or cost benefit analysis in support of research objectives
4+ years of experience with PANDAS, R, Excel and VBA, ARENA, OCTAVE, Tableau, Gurobi and CPLEX, EXTENDSIM, SAS, NETICA, stats models, Stata, MATLAB, or SPSS
TS/SCI clearance with a polygraph
Bachelor’s degree in a Science, Technology, Engineering, or Mathematics (STEM) field

Nice If You Have:

Experience with Cameo, including making simulations
Experience developing digital twins
Experience with developing and performing verification and validation of models to ensure adequacy
Experience developing and delivering training materials for operations research techniques
Experience c ond ucting problem definition and gathering data requirements from stakeholders
Experience briefing results and preparing written reports on analytic approaches and methodologies
Experience with the use of machine learning and large language models to solve complex problems
Master’s degree in a Science, Technology, Engineering, or Mathematics (STEM) field

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information ; TS/SCI clearance with polygraph is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $69,400.00 to $158,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Analyste en énergie / Energy Analyst

Be a part of our mission! As a world leader in creating comfortable, sustainable, and efficient climate solutions for buildings, homes and transportation, it’s our responsibility to put the planet first. For us at Trane Technologies , and through our businesses including Trane and Thermo King , sustainability is not just how we do business-it is our business. Do you dare to look at the world’s challenges and see impactful possibilities? Do you want to contribute to making a better future? If the answer is yes, we invite you to consider joining us in boldly challenging what’s possible for a sustainable world.

Learn about our benefits designed for you to Thrive at work and at home.

We boldly go.

Where is the work:

Our BrainBox AI Workplace Presence model dedicates specific in-office days each month to focus on relationships, learning and innovation.

Qu’y gagnez-vous:

Un avenir durable exige une évolution numérique continue. Notre équipe de solutions numériques est à l’avant-garde du développement de technologies climatiques de nouvelle génération axées sur la réduction de la consommation d’énergie du côté de la demande et des émissions. Notre équipe - incluant BrainBox AI, Nuvolo et d’autres - combine expertise technique et analyses avancées pour créer des solutions axées sur les données qui apportent une réelle valeur aux clients, aux collectivités et à la planète. Que vous fassiez progresser l’IA dans les systèmes de CVC ou que vous stimuliez l’analytique pour accroître l’efficacité, vos idées contribueront à concevoir des solutions pour des collectivités plus fortes et un monde durable.

Ce que vous ferez :

Comprendre le système HVAC d’un bâtiment. Créer des compteurs virtuels en incorporant les données de consommation d’énergie du bâtiment dans nos modèles de données.
Communiquer les résultats de vos calculs aux parties prenantes concernées et identifier clairement les obstacles lorsqu’ils sont présents.
Fournir une assistance technique avec la révision continue des données des systèmes de gestion de l’énergie, y compris le dépannage, le diagnostic et l’analyse des économies d’énergie.
Développer des procédures et des systèmes standard pour améliorer la qualité et l’efficacité des processus internes ; et identifier et définir de nouvelles opportunités d’amélioration des processus.
Identifier, analyser et interpréter les tendances ou les modèles dans des ensembles de données complexes.
Travailler avec la direction pour prioriser les besoins commerciaux et d’information. Point de référence pour les questions techniques et liées aux outils pour les membres de l’équipe interne et autres collègues concernant le travail des stagiaires et les outils qu’ils utilisent.
Revoir le travail des stagiaires et l’approuver ou le renvoyer pour plus de travail. Responsable de l’intégration des nouveaux stagiaires et de répondre aux questions techniques / revoir leur travail avant de les juger capables de travailler de manière autonome.

Ce que vous apporterez:

Diplôme de baccalauréat en génie mécanique ou en génie du bâtiment, ou diplôme technique dans un domaine connexe.
Connaissance des systèmes d’automatisation des bâtiments, HVAC, électrique et exploitation des bâtiments est préférée.
Bonne compréhension de la théorie et des concepts de contrôle des bâtiments.
Capacité à prioriser et à résoudre rapidement les problèmes.
Excellentes compétences en communication.
Capacité à bien travailler sous pression et à gérer des priorités concurrentes.

Exigences linguistiques :

Le bilinguisme français-anglais est requis.
En plus de la maîtrise du français, les candidats retenus doivent avoir une maîtrise professionnelle complète de l’anglais afin de soutenir et de collaborer avec des clients, collègues et/ou divers intervenants anglophones.

English Follows

What’s in it for you:

A sustainable future demands ongoing digital advancement. Our digital solutions team leads the way in developing next-generation climate technology focused on reducing demand-side energy consumption and emissions. Our team-including BrainBox AI, Nuvolo, and more-combines technical expertise with advanced analytics to create data-driven solutions that add real value for customers, communities, and the planet. Whether you’re advancing AI in HVAC or driving analytics for greater efficiency, your ideas will help engineer solutions for stronger communities and a sustainable world.

What you will do:

Create virtual meters by incorporating building power consumption data into our data models
Understand the HVAC system of a building
Communicate the results of your calculations to the relevant stakeholders and clearly identify roadblocks when present.
Provide technical assistance with ongoing review of data from energy management systems, including troubleshooting, diagnostics, and energy savings analysis.
Develop standard procedures and systems to improve quality and efficiency of internal processes; and locate and define new process improvement opportunities.
Identify, analyze, and interpret trends or patterns in complex data sets
Work with management to prioritize business and information needs
Point of reference for technical and tool related questions for both internal team members and other colleagues related to the work the interns do and the tools they use
Reviews the interns’ work and passes it or sends it back for more work
Responsible for onboarding new interns and answering technical questions / reviewing their work before deeming them capable of working on their own

What you will bring:

Bachelor’s degree in mechanical or building engineering, or technical degree in related field
Knowledge of building automation systems, HVAC, electrical and building operation is preferred
Good understanding of building control theory and concepts
Ability to prioritize and problem-solve quickly
Excellent communication skills
Ability to work well under pressure and handle competing priorities.

Language Requirements

French-English bilingualism is required.
In addition to fluency in French, successful candidates must have full professional proficiency in English in order to support and collaborate with English-speaking clients, colleagues and/or various stakeholders.

Annual Base Salary Range or Hourly Base Pay Range:

$50,000.00 - $70,734.99

Compensation Type:

Salary

Incentive Eligible:

No

Sales Commission Eligible:

No

Disclaimer: We strive to provide competitive compensation for this position, tailored to a variety of factors. The actual compensation will depend on elements such as seniority, merit, geographic location, education, experience, travel requirements, and union designation. Our compensation range is generally based on the national average for the country. Additionally, benefits may vary depending on the region, business alignment, union involvement, and employee status.

We offer competitive compensation and comprehensive benefits and programs. We are an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, age, marital status, disability, status as a protected veteran, or any legally protected status.

Why USAA?

At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families.

Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful.

The Opportunity

We have multiple exciting opportunities available on our Pricing, Indications, and Reserving teams. As a dedicated Actuarial Analyst I, you will be a near-credentialed analyst responsible for independently applying complex technical and actuarial methodologies as well as requiring expert knowledge in one actuarial practice area (pricing, reserving, modeling, catastrophe risk, claims analytics, product management, etc.) to complete unstructured projects.

This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site four days per week.

What you’ll do:

Independently apply complex technical and actuarial methodologies, as well as proficient actuarial knowledge, to complete unstructured projects
Select and ensure quality of data used to perform trend analysis supports rate level indications; translate business problem into technical requirements; run catastrophe models and interpret and communicate results to support business activities while executing and enhancing a strong control environment with guidance from an experienced catastrophe modeler.
Utilize actuarial, mathematical, or statistical techniques to augment actuarial work product.
Create and deliver training to teammates on mechanics of actuarial tools and processes.
Apply understanding of products supported, stakeholders’ needs, and industry trends to solve unstructured business problems.
Identify compliance gaps and process improvements and recommends develops solutions.
Lead unit initiatives and participate in cross-functional efforts as a technical subject matter expert.
Effectively communicate insights and solutions to all audiences, including executive leadership.
Synthesize complex and conflicting information into a clear and influential value proposition.
Ensure risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.

What you have:

Bachelor’s degree; OR 4 years of related Actuarial/business/analytical experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.
4 years of Actuarial or analytical business experience.
No more than 2 Casualty Actuarial Society (CAS) exams away from Associate of the Casualty Actuarial Society (ACAS) Credential and All Validation of Education Experience (VEEs) completed.
Demonstrated competency with relevant actuarial, mathematical, and statistical techniques and approaches used to support fact-based decision-making.
Intermediate knowledge of data analysis tools, data visualization, developing analysis queries and procedures in Python, R, SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.
Experience communicating complex solutions and analysis to both technical and nontechnical audiences.

What sets you apart:

US military experience through military service or a military spouse/domestic partner

Compensation range: The salary range for this position is: $103,450 - $197,730.

USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.).

Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.

Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.

The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.

Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.

For more details on our outstanding benefits, visit our benefits page on

Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting.

USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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Life Actuarial Valuation, Reporting, and Forecasting Actuary

Why USAA?

At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families.

Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful.

The Opportunity

As a dedicated Life Actuarial Valuation, Reporting, and Forecasting Actuary, you will be responsible for Life or Annuity reserving, reporting, or forecasting. They will be part of a critical team working closely with both the Life Company and Finance teams.

Coordinates, prepares, and performs actuarial analyses required to develop new products, project future results, reprice existing products, and/or determine financial strength.

This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site 4 days per week.

Relocation assistance is not available for this position.

What you’ll do:

Performs complex work assignments utilizing actuarial modeling software driven models for pricing, valuation, and/or risk management.
Reviews laws and regulations to ensure all processes are compliant; and provides recommendations for improvements and monitors industry communications regarding potential changes to existing laws and regulations.
Runs models, generates reports, and presents recommendations and detailed analysis of all model runs to Actuarial Leadership.
May make recommendations for model adjustments and improvements, when appropriate.
Shares knowledge with team members and serves as a resource to team on escalated issues and navigates obstacles to deliver work product.
Leads or participates as a key resource on moderately complex projects through concept, planning, execution, and implementation phases with minimal guidance, involving cross functional actuarial areas.
Develops exhibits and reports that help explain proposals/findings and provides information in an understandable and usable format for stakeholders.
Identifies and provides recommended solutions to business problems independently, often presenting recommendation to leadership.
Maintains proper price level, price structure, data availability and other requirements to achieve profitability and competitive goals.
Identifies critical assumptions to monitor and suggest timely remedies to correct or prevent unfavorable trends.
Tests impact of assumptions by identifying sources of gain and loss, the appropriate premiums, interest margins, reserves, and cash values for profitability and viability of new and existing products.
Advises management on issues and serves as a primary resource for their individual team members on escalated issues.
Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.

What you have:

Bachelor’s degree; OR 4 years of related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.
4 years relevant actuarial or analytical experience and attainment of Fellow within the Society of Actuaries; OR 8 years relevant actuarial experience and attainment of Associate within the Society of Actuaries.
Experience performing complex work assignments utilizing actuarial modeling software driven models for pricing, valuation, and/or risk management.
Demonstrated experience communicating complex actuarial analysis and recommendations to technical and non-technical audiences.

What sets you apart:

5+ years of Moody’s AXIS experience
Advanced degree
US military experience through military service or a military spouse/domestic partner

Compensation range: The salary range for this position is: $127,310-$243,340