Sr. Manager, Quantitative Analysis -Model Validation

McLean 1 (19050), United States of America, McLean, Virginia

At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding.

Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

Sr. Manager, Quantitative Analysis -Model Validation

Capital One, a Fortune 100 company and one of the nation's top 10 banks, is one of the largest, most analytically sophisticated Financial Services providers in the world. We offer a broad spectrum of financial products and services to consumers, small businesses and commercial clients. We nurture a work environment where people with a variety of thoughts, ideas and backgrounds, guided by our shared Values, come together to make Capital One a great company and a great place to work.

As a Sr. Manager, Quantitative Analysis within the Model Risk Office, you will lead the validation of loss forecasting and stress testing models that are used to measure risk and calculate capital requirements associated with a wide range of financial assets. You will enhance your technical and analytical skills, while also working with business and model risk leaders to influence model methodologies and risk management. With a network of over 200 Quants and Data Scientists, challenging projects with an eye on the bottom line and a focus on work/life balance, we've created a dynamic environment with plenty of room for you to learn, grow, and realize your full potential.

Specific responsibilities may include, but are not limited to:
- Designing and leading model validation projects, in an analytic capacity
- Understanding business processes associated with model use, and the nature of model use within those processes
- Managing the assessment of the methodologies and processes used by modeling teams to develop and manage their models, and identifying potential weaknesses and the associated materiality of the risk
- Leading the development of project plans, setting and managing expectations, and delivering results through self and/or others
- Guiding the development of alternative model methodologies to evaluate current model performance and explore future capabilities
- Analyzing complex data to identify data integrity issues;
- Researching and enhancing industry practices related to model methodologies
- Managing the documentation of validation processes and results
- Communicating validation work to senior management, model owners, regulators, and auditors
- Taking a leadership role with the validation group, through contributions to hiring, training, and enhancing the model risk management infrastructure, including processes and templates

Basic Qualifications:
- Master's Degree
- At least 5 years of experience in developing statistical or econometric models
- At least 5 years of experience in financial services industry

Preferred Qualifications:
- Doctorate in Statistics, Economics, Mathematics, Industrial Engineering or Operations Research
- 7+ years of experience in developing statistical or econometric models
- 1+ years of experience in risk scoring
- 1+ years of experience in forecasting models
- 1+ years of experience working with Basel and CCAR regulatory requirements

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


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