107 Economic Modeling jobs in the United States
Director, Economic & Predictive Modeling, GHEOR
Posted today
Job Viewed
Job Description
Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.
Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us .
**Join our pioneering group of HTA modelling experts developing cutting edge AI based solutions.**
**Position Purpose**
+ Provide expert modelling, AI, and programming capabilities to GHEOR TA teams
+ Execute market level CE model adaptations using the Bristol Myers Squibb (BMS) GHEOR EPM Generative AI tool suite.
+ Execute and present methods shaping innovative research, panels, publications, education, and external talks to shape the HTA and payer environment - primary focus on AI methods for access & HEOR.
+ Highly competent matrix collaborator.
+ Active membership within the Model Protocol Review Committee
**Key Responsibilities**
+ Develop innovative HTA methods that delivers rapid access for BMS medicines - specific focus on AI capabilities that increase speed to patient and reduced operating costs.
+ Lead the BMS external strategy to evolve payer/HTA agency methodology in the assessment of the value of BMS Neuroscience and Immunology / Cardiovascular portfolio.
+ Act as scientific leader for the latest modelling methodology that optimises the assessment of BMS Neuroscience and Immunology / Cardiovascular assets
+ Horizon scan latest advances in HTA methodology from academia, payers and competitors embedding key learnings
+ Partner with global asset leads and BMS affiliates to implement the AI based model adaptations program - work effectively with BMS internal EPM contractor team
+ Ability to hands on deliver structural updates to economic models
+ Provide expert level support in development of cost-effectiveness and budget impact models in collaboration with cross-functional local, regional and global teams
+ Provide early HEOR analytics to inform pricing strategies for CE archetypes as requested
+ Provide modelling input to Value Story development and updates
+ Interpret clinical studies results and plan additional statistical analyses needed for core models and model adaptations, including indirect treatment comparisons
+ Engage in timely and effective communication to HTA and reimbursement authorities as requested / required by matrix teams
+ Lead publications of core global economic models. Thought leadership on modelling internally and externally, to help shape the HTA business environment and standards
**Degree Requirements**
+ Doctorate Degree (PhD) or Master's (MSc) in health economics or related relevant discipline and 10 plus years of health economics and outcomes research experience
**Experience & Skills Required**
+ Experience using Visual Basic, and software including R, Python, OPEN BUGS and JAGs, ideally with the ability to program, interpret and modify existing code
+ Lead projects as the subject matter expert, providing strategic direction and expertise while overseeing execution and ensuring successful outcomes.
+ Project management skills with ability to communicate effectively across all levels of the matrix
+ Successful development of model development for HTA submissions including adaptations for country needs
+ Innovative methods evidence by published research
+ Experience in leading research and presenting at conferences as well as to internal matrix stakeholders and senior leaders
+ Significant and detailed understanding of generative AI techniques and tools to automate HEOR & Access workflows, with a focus on minimising risks such as biases and inaccuracies
+ Previous experience in Neuroscience and Immunology / Cardiovascular is desirable though not mandatory
**Key Competencies**
+ Experience working across a broad matrix of internal functions (GHEOR, Global Biostats, Medical, Clinical Research, Commercial, Policy, Market Access and Pricing)
+ Essential:
+ **R and/or Python**
+ **VBA**
+ Desirable, but not mandatory:
+ **OpenBUGS** and/or **WinBUGS** and/or **JAGS**
+ Statistical skills in advanced survival analyses and relative effectiveness assessments (NMAs, MAICs, STCs, Bucher, ML-NMR).
#LI-Remote
If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.
**Uniquely Interesting Work, Life-changing Careers**
With a single vision as inspiring as Transforming patients' lives through science , every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.
**On-site Protocol**
BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:
Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.
BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to . Visit careers.bms.com/ ( eeo-accessibility to access our complete Equal Employment Opportunity statement.
BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters.
BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.
Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.
Bristol Myers Squibb is Disability Confident - Employer
A UK Government scheme
**Company:** Bristol-Myers Squibb
**Req Number:** R
**Updated:** :19:51.084 UTC
**Location:** Uxbridge-GB
Bristol Myers Squibb is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, pregnancy, citizenship, marital status, gender expression, genetic information, political affiliation, or any other characteristic protected by law.
Senior Associate, Statistical Modeling
Posted 2 days ago
Job Viewed
Job Description
We're on a mission to power confidence as students begin their unique journey. To help them plan their higher education, successfully finish, and prepare for life after school. To help them Start smart. Learn big.
Students need guidance navigating this important time in their life. They need someone who acknowledges that their education path is unique. They need a partner willing to evolve and not only meet but surpass their expectations. We're changing. Because students need a better way.
We're looking for people who are excited to drive this transformation. To break barriers and think of new ways to adapt, help, and create better experiences for students-and for each other.
This is where diverse backgrounds, beliefs, and perspectives matter. It's where you're empowered to bring your authentic self to work.
Feeling your best allows you to do your best. Our benefits take care of the whole you-from physical and mental to financial and professional. You'll get opportunities to further your education and career, support for you and your family (including your pets!), paid time off to volunteer for the things that matter to you, and more.
We're obsessed with impact and making a real difference. For us, that means putting relationships first, asking "why not?" when tackling challenges, and continuously learning new skills.
Come do more than join something, change something. For students, for future generations, for the future of education.
**What You'll Contribute**
The Senior Associate, Statistical Modeling will be responsible for supporting the development and implementation of statistical models and methodologies to drive data-informed decision-making within the organization. This role is ideal for individuals with a strong foundation in statistical modeling and machine learning. The candidate will play a key role in developing, validating, and enhancing credit risk models, working closely with business stakeholders to ensure alignment and applicability of model outputs.
**What You'll Do**
+ Assist in the development and implementation of statistical models, algorithms, and methodologies to analyze complex data sets and solve business problems.
+ Collaborate with cross-functional teams, including data scientists, data engineers, business analysts, and stakeholders, to understand business objectives and contribute to statistical modeling projects.
+ Analyze and interpret large and diverse datasets to extract meaningful insights.
+ Assist in evaluating and validating statistical models to ensure accuracy, reliability, and scalability.
+ Contribute to the documentation of statistical models, methodologies, and findings.
+ Prepare reports and presentations to communicate results, insights, and recommendations to team members and stakeholders.
_The above information is intended to describe the general nature and level of work performed by employees assigned to this job; it is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees in this role._
**What you have**
Minimum education, skills and experience required.
+ Master's degree in Statistics, Mathematics, Data Science, or a related field.
+ Proficiency in statistical programming languages such as SAS, SQL or Python.
+ Knowledge of statistical modeling techniques, including regression analysis, time series analysis, predictive modeling, and machine learning algorithms.
+ Familiarity with data visualization tools and techniques.
+ Strong analytical and problem-solving skills, with the ability to work with large and complex data sets.
+ Detail-oriented with a strong focus on accuracy and quality.
+ Effective communication and interpersonal skills, with the ability to collaborate with team members and stakeholders.
Preferred education, skills, and experience.
+ Doctorate's degree in Statistics, Mathematics, Data Science, or a related field.
+ 3+ years of experience in statistical modeling or data analysis.
+ Expertise in advanced technologies, including machine learning and generative AI.
+ Exposure to cloud platforms and tools such as AWS and Git technology.
+ Familiarity with model governance frameworks and prior experience in supporting model validation processes.
**The Americans with Disabilities Act**
_The Americans with Disabilities Act of 1990 (ADA) prohibits discrimination by employers, in compensation and employment opportunities, against qualified individuals with disabilities who, with or without reasonable accommodation, can perform the "essential functions" of a job. A function may be essential for any of several reasons, including: the job exists to perform that function, the employee holding the job was hired for his/her expertise in performing the function, or only a limited number of employees are available to perform that function._
**Feeling your best helps you do your best:**
**Our benefits take care of the whole you-so you can build your work around your life (not the other way around!).**
+ Competitive base salaries
+ Bonus incentives
+ Generous PTO, Floating Holidays and 12 Federal Holidays observed
+ Support for financial-well-being and retirement 401k with employer match
+ Comprehensive medical, dental, vision, hospital indemnity, critical illness, pet insurance and more
+ Employer paid short-term/long-term disability and basic life insurance
+ Flexible hybrid working arrangements.
+ Paid parental leave and adoption reimbursement programs
+ Free access to on-site staffed fitness centers (in Delaware) and gym subsidy (for locations outside Delaware)
+ Confidential counseling support (EAP), Health Advocacy services and Wellness program with financial incentives
+ Tuition Reimbursement and Family Scholarship Programs
+ Career development and training opportunities
Not the right fit? Let us know you're interested in a future opportunity by clicking _Introduce Yourself_ in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!
**Sallie Mae is proud to be an equal opportunity (EEO) employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, sexual orientation, national origin, age, genetic information, gender identity, disability, Veteran status or any other characteristic protected by federal, state or local law. Click here ( **to view the U.S. Pay Transparency Policy,** **here ( **for federal job applicant notices, and** **here ( **to view the California Employee Privacy Notice.**
**Reasonable accommodations are available for applicants with disabilities in all phases of the application and employment process. To request an accommodation please call and choose option 9. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.**
Sallie Mae is proud to be an equal opportunity (EEO) employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, sexual orientation, national origin, age, genetic information, gender identity, disability, Veteran status or any other characteristic protected by federal, state or local law. If you'd like more information about your EEO rights as an applicant, please click Click to view the U.S. Pay Transparency Policy.
Director of Quantitative Analysis
Posted 4 days ago
Job Viewed
Job Description
Responsibilities:
- Lead and mentor a team of quantitative analysts and researchers.
- Develop, implement, and validate sophisticated quantitative models for trading and risk management.
- Design and conduct rigorous backtesting of trading strategies.
- Analyze large datasets to identify market trends and investment opportunities.
- Collaborate with traders and portfolio managers to refine investment strategies.
- Ensure the accuracy and performance of quantitative models and systems.
- Stay abreast of the latest research in quantitative finance, machine learning, and econometrics.
- Communicate complex analytical findings to senior management and stakeholders.
- Contribute to the firm's quantitative research agenda and technological roadmap.
- Ph.D. in Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or a related quantitative field.
- 8+ years of experience in quantitative analysis within the financial services industry.
- Proven experience in developing and implementing trading strategies and risk models.
- Expertise in statistical modeling, econometrics, machine learning, and data mining techniques.
- Proficiency in programming languages commonly used in quantitative finance (e.g., Python, C++, R, MATLAB).
- Deep understanding of financial markets, derivatives, and portfolio theory.
- Excellent leadership, communication, and problem-solving skills.
- Ability to work effectively under pressure and manage multiple priorities.
Director of Quantitative Analysis
Posted 16 days ago
Job Viewed
Job Description
Key responsibilities include designing, building, and validating complex financial models for areas such as asset pricing, risk assessment, portfolio optimization, and algorithmic trading. You will collaborate closely with portfolio managers, traders, risk officers, and technology teams to ensure the effective integration and application of quantitative solutions. This role requires a strong command of programming languages commonly used in quantitative finance (e.g., Python, R, C++) and extensive experience with financial databases and data analytics platforms. You will also be responsible for staying abreast of the latest developments in quantitative finance, research, and technology, and for mentoring junior members of the quantitative team.
The successful candidate will hold a Master's or Ph.D. in a quantitative field such as Mathematics, Physics, Statistics, Economics, or Financial Engineering. A minimum of 10 years of relevant experience in quantitative finance, with significant experience in a leadership or management role, is required. Proven expertise in areas like stochastic calculus, time series analysis, machine learning, and statistical modeling is essential. Excellent communication and presentation skills are necessary to convey complex analytical findings to both technical and non-technical audiences. This position offers a hybrid work arrangement, blending in-office collaboration with remote flexibility, allowing for a dynamic and effective work environment in Chicago, Illinois, US .
VP of Quantitative Analysis
Posted 16 days ago
Job Viewed
Job Description
Manager, Quantitative Analysis - Model Risk Audit
Posted today
Job Viewed
Job Description
Manager, Quantitative Analysis - Model Risk Audit
At Capital One 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 Quantitative Analyst 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 cloud 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.
As part of Capital One’s Model Audit team, you will have a unique vantage point to review models and model risk practices across the enterprise and the opportunity to connect the dots to raise the appropriate model risk issues and provide assurance to the Audit Committee. Successful candidates will partner cross-functionally with business throughout the company to deliver breakthrough analytical solutions to support a winning strategy in a continually changing business environment. You will be the driving force to experiment, innovate, and create next-generation features powered by the latest emerging NLP and Generative AI technologies. If you love a fast-paced, highly rewarding environment, and you love being a builder and communicator, this is the place for you.
Responsibilities and Skills:
Apply deep expertise in econometric, statistical and machine learning methods to generate critical insights and decision frameworks for our business and customers
Communicate technical subject matter clearly and concisely to individuals from various backgrounds
Partner with the various lines of business to enhance modeling and analytical framework
Work across Capital One entities to create novel analytical solutions to the challenging business problems
Identify opportunities to apply quantitative methods, machine learning, and automation solutions to improve business performance and process efficiencies
Collaborate in a cross-disciplinary team to build cloud-based solutions grounded in data
Expertise in quantitative analysis is central to our success in all markets. Our modelers thrive in a culture of mutual respect, excellence and innovation.
Successful candidates would possess:
Strong understanding of quantitative analysis methods in relation to financial institutions
Demonstrated track-record in machine learning and econometric analysis
Experience utilizing model estimation tools
Ability to clearly communicate modeling results to a wide range of audiences
Drive to develop and maintain high quality and transparent model documentation
Strong written and verbal communication skills
Strong presentation skills
Proficiency in key econometric and statistical techniques (such as predictive modeling, logistic regression, survival analysis, panel data models, design of experiments, decision trees, machine learning methods)
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
Preferred Qualifications:
PhD in Statistics, Economics, Mathematics, Financial Engineering, Operations Research, Engineering, Finance, Physics or related disciplines
2 years of experience manipulating and analyzing large data sets
2 years of experience with advanced machine learning technologies including language models, LLMs and/or Generative AI technologies
3 years of experience with Python, R or other statistical analyst software
4 years of experience in statistical modeling or regression analytics or machine learning
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.
Plano, TX: $175,800 - $00,700 for Manager, Quantitative Analysis
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 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).
Senior Manager, Quantitative Analysis - Model Risk
Posted today
Job Viewed
Job Description
Senior Manager, Quantitative Analysis - Model Risk
At Capital One 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 Quantitative Analyst 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 cloud 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.
As a Senior Manager, Quantitative Analyst within the Model Risk Office, you will be part of the Model Validation Team, working on the validation of Economic forecasting models, stress testing models, finance forecasting models and Interest Rate and Liquidity Risk Management models. Validations cover all aspects of model development and performance and include forward-looking advancements in model sophistication and quality. You will enhance your technical and analytical skills, while also working closely with business leaders to influence business strategy. With a network of over 200 quantitative analysts and statisticians, we’ve created a dynamic environment with plenty of room for you to learn, grow, and realize your full potential.
Responsibilities:
Remain on the leading edge of analytical technology with a passion for the newest and most innovative tools
Develop alternative model approaches to assess model design and advance future capabilities
Understand relevant business processes and portfolios associated with model use
Understand technical issues in econometric, statistical, and machine learning modeling and apply these skills toward developing models and assessing model risks and opportunities
Communicate technical subject matter clearly and concisely to individuals from various backgrounds both verbally and through written communication; prepare presentations of complex technical concepts and research results to non-specialist audiences and senior management
Maintain the efficiency and accuracy of our models through continuous improvement and application of best practices
Develop and maintain high quality and transparent documentation
Leverage the latest open source technologies and tools to identify areas of opportunity in our existing framework
Expertise in quantitative analysis is central to our success in all markets. Our modelers thrive in a culture of mutual respect, excellence and innovation.
Successful candidates would possess:
Demonstrated track-record in modeling and experience utilizing model estimation tools such as Python or R
Ability to clearly communicate modeling results to management, model risk office, regulator and other modelers
Drive to continuously improve all aspects of their work in a collaborative fashion
Experience in machine learning
Strong communication skills with the ability to quickly understand existing models and new requirements/business needs
Experience working with Agile development methodologies
Strong grasp of econometric theory and methodologies
Desire to remain on the leading edge of analytical technology with a passion for the newest and most innovative tools.
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 7 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 5 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 2 years of experience performing data analytics
Preferred Qualifications:
PhD in Economics, Statistics, Mathematics, Financial Engineering, Finance, Physics or related disciplines
At least 5 years of experience in statistical modeling or regression analytics or machine learning
At least 2 years of experience managing large-scale projects
At least 2 years of experience managing a team of analysts
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: $225,400 - $257,200 for Sr Mgr, Quantitative Analysis
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 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).
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Manager, Quantitative Analysis - Model Risk Audit
Posted today
Job Viewed
Job Description
Manager, Quantitative Analysis - Model Risk Audit
At Capital One 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 Quantitative Analyst 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 cloud 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.
As part of Capital One’s Model Audit team, you will have a unique vantage point to review models and model risk practices across the enterprise and the opportunity to connect the dots to raise the appropriate model risk issues and provide assurance to the Audit Committee. Successful candidates will partner cross-functionally with business throughout the company to deliver breakthrough analytical solutions to support a winning strategy in a continually changing business environment. You will be the driving force to experiment, innovate, and create next-generation features powered by the latest emerging NLP and Generative AI technologies. If you love a fast-paced, highly rewarding environment, and you love being a builder and communicator, this is the place for you.
Responsibilities and Skills:
Apply deep expertise in econometric, statistical and machine learning methods to generate critical insights and decision frameworks for our business and customers
Communicate technical subject matter clearly and concisely to individuals from various backgrounds
Partner with the various lines of business to enhance modeling and analytical framework
Work across Capital One entities to create novel analytical solutions to the challenging business problems
Identify opportunities to apply quantitative methods, machine learning, and automation solutions to improve business performance and process efficiencies
Collaborate in a cross-disciplinary team to build cloud-based solutions grounded in data
Expertise in quantitative analysis is central to our success in all markets. Our modelers thrive in a culture of mutual respect, excellence and innovation.
Successful candidates would possess:
Strong understanding of quantitative analysis methods in relation to financial institutions
Demonstrated track-record in machine learning and econometric analysis
Experience utilizing model estimation tools
Ability to clearly communicate modeling results to a wide range of audiences
Drive to develop and maintain high quality and transparent model documentation
Strong written and verbal communication skills
Strong presentation skills
Proficiency in key econometric and statistical techniques (such as predictive modeling, logistic regression, survival analysis, panel data models, design of experiments, decision trees, machine learning methods)
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
Preferred Qualifications:
PhD in Statistics, Economics, Mathematics, Financial Engineering, Operations Research, Engineering, Finance, Physics or related disciplines
2 years of experience manipulating and analyzing large data sets
2 years of experience with advanced machine learning technologies including language models, LLMs and/or Generative AI technologies
3 years of experience with Python, R or other statistical analyst software
4 years of experience in statistical modeling or regression analytics or machine learning
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.
Plano, TX: $175,800 - $00,700 for Manager, Quantitative Analysis
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 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).
Senior Manager, Quantitative Analysis - Model Risk
Posted today
Job Viewed
Job Description
Senior Manager, Quantitative Analysis - Model Risk
At Capital One 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 Quantitative Analyst 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 cloud 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.
As a Senior Manager, Quantitative Analyst within the Model Risk Office, you will be part of the Model Validation Team, working on the validation of Economic forecasting models, stress testing models, finance forecasting models and Interest Rate and Liquidity Risk Management models. Validations cover all aspects of model development and performance and include forward-looking advancements in model sophistication and quality. You will enhance your technical and analytical skills, while also working closely with business leaders to influence business strategy. With a network of over 200 quantitative analysts and statisticians, we’ve created a dynamic environment with plenty of room for you to learn, grow, and realize your full potential.
Responsibilities:
Remain on the leading edge of analytical technology with a passion for the newest and most innovative tools
Develop alternative model approaches to assess model design and advance future capabilities
Understand relevant business processes and portfolios associated with model use
Understand technical issues in econometric, statistical, and machine learning modeling and apply these skills toward developing models and assessing model risks and opportunities
Communicate technical subject matter clearly and concisely to individuals from various backgrounds both verbally and through written communication; prepare presentations of complex technical concepts and research results to non-specialist audiences and senior management
Maintain the efficiency and accuracy of our models through continuous improvement and application of best practices
Develop and maintain high quality and transparent documentation
Leverage the latest open source technologies and tools to identify areas of opportunity in our existing framework
Expertise in quantitative analysis is central to our success in all markets. Our modelers thrive in a culture of mutual respect, excellence and innovation.
Successful candidates would possess:
Demonstrated track-record in modeling and experience utilizing model estimation tools such as Python or R
Ability to clearly communicate modeling results to management, model risk office, regulator and other modelers
Drive to continuously improve all aspects of their work in a collaborative fashion
Experience in machine learning
Strong communication skills with the ability to quickly understand existing models and new requirements/business needs
Experience working with Agile development methodologies
Strong grasp of econometric theory and methodologies
Desire to remain on the leading edge of analytical technology with a passion for the newest and most innovative tools.
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 7 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 5 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 2 years of experience performing data analytics
Preferred Qualifications:
PhD in Economics, Statistics, Mathematics, Financial Engineering, Finance, Physics or related disciplines
At least 5 years of experience in statistical modeling or regression analytics or machine learning
At least 2 years of experience managing large-scale projects
At least 2 years of experience managing a team of analysts
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: $225,400 - $257,200 for Sr Mgr, Quantitative Analysis
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 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).
Principal Data Scientist, Quantitative Analysis and Strategy
Posted 5 days ago
Job Viewed
Job Description
+ Plays an active role in the futuristic display of data, and advancement of innovative data strategies to understand consumer trends and address business problems.
+ Collaborates with the product team and partners to understand and provide data-driven decision making, business planning and future roadmap.
+ Collaborates with data scientists and other stakeholders to understand data and modeling needs and develop solutions that meet those needs.
+ Designs, builds, and maintains large-scale data pipelines for reporting, analysis and machine leaning/deep leaning models.
+ Conducts large-scale analysis of information to discover patterns and trends by combining different modules and algorithms.
+ Develops machine learning/deep learning models. Investigates additional technologies and tools for developing innovative data solutions for business stakeholders.
+ Uses analysis to provide recommendations and advice for business leaders to maintain to maintain market competitiveness.
+ 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 behaviours 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.
**Qualifications:**
Advanced level of proficiency:
+ Advanced degree (PhD preferred) in Data Science, Statistics, Applied Mathematics, Economics, or related quantitative field.
+ 5+ years of data science experience.
+ In-depth knowledge in machine learning and deep learning models, such as but not limited to, XGboosting, LSTM and LLM etc.
+ Data visualization and polished communication skills.
+ Self-driven problem solver; able to adapt and thrive in a dynamic, ambiguous, and customer-focused environment.
+ Highly analytical, technically proficient, and able to learn new tools and ML models quickly.
+ Trust, bias and ethics.
+ Collaboration & team skills; with a focus on cross-group collaboration.
+ Able to manage ambiguity.
+ Data driven decision making.
+ Experience with GenAI LLM models
+ Experience with MLOps, building workflows for model retraining, monitoring and deploying
+ Experience with ML frameworks such as TensorFlow, PyTorch
+ Experience with cloud-based data platforms such as AWS or Azure
+ Experience with data visualization tools such as Power BI
**Salary:**
$122,400.00 - $228,000.00
**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: 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 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 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.