Capital One Principal Quantitative Analyst - Model Risk Office 

United States, Virginia, Arlington 

653283260

Principal Quantitative Analyst - Model Risk Office

As a Principal Associate, Quantitative Analysis within the Model Risk Office, you will be part of the model validation team, working on the validation of CECL, CCAR stress testing 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 500 quantitative analysts and data scientists, we’ve created a dynamic environment with plenty of room for you to learn, grow, and realize your full potential.

Responsibilities and Skills:

- Develop and implement validation strategies for the structural economic model, statistical, financial, and other quantitative models.

- Assess the quality and risk of model methodologies, outputs, and processes

- Develop alternative model approaches to assess model design and advance future capabilities

- Apply deep expertise in econometric, statistical and machine learning methods to generate critical insights in assessing model risks and opportunities.

- Communicate clearly and concisely both verbally and through written communication via model validation reports and presentations

- Strong understanding of quantitative analysis methods in relation to financial institutions.

- Demonstrated track-record in 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

- Appreciation for processes, controls, and good governance.

- Ability to manage complex projects that require cross-team collaboration.

- Currently has, or is in the process of obtaining
one of the followingwith 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 5 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 3 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)

Preferred Qualifications:

- Ph.D. in Economics, Statistics, Finance or related disciplines.

- Experience in structural model, economic modeling and forecasting.

- Experience or related research experience in macroeconomics, international finance, labor market, industrial organization, behavior models and financial modeling

- 2 years of experience with Python, R or other statistical analyst software

- 2 years of experience manipulating and analyzing large data sets

Richmond, VA: $144,200 - $164,600 for Prin Assoc, Quant Analysis McLean, VA: $158,600 - $181,000 for Prin Assoc, Quant AnalysisThis 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.

. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

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 1-800-304-9102 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.