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Capital One Quantitative Analyst - Model Risk Management United States, Virginia, Arlington 958741239
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As a Quantitative Analyst within the Model Risk Office, you will be part of the validation team responsible for loss forecasting and economic stress test models used to determine loss reserves and capital requirements for Capital One's commercial portfolio covering C&I, CRE and Structured products. Validations cover all aspects of model development and performance and include forward-looking advancements in modeling capabilities and quality. With a network of over 500 quantitative analysts, data scientists and statisticians, we’ve created a dynamic environment with ample opportunities for learning and growth.
- Develop and execute validation testing for statistical, econometric, and machine learning models used in loss forecasting, allowance and stress testing for retail portfolios.
- Generate risk assessments and model insights based on validation evaluations and results.
- Develop alternative model approaches to assess model design and advance future capabilities.
- Understand relevant business processes and portfolios associated with model use.
- Communicate technical subject matter clearly and concisely to individuals from various backgrounds and roles both verbally and through written communication via model validation reports and presentations.
- Maintain the efficiency and accuracy of our models through ongoing model risk management and application of best practices.
- Demonstrated knowledge and track-record in statistical modeling.
- Experience utilizing model estimation tools such as R or Python.
- Ability to clearly communicate modeling results to a wide range of audiences.
- Strong written skills and ability to create and maintain high quality model documentation.
Basic Qualifications:
- Currently has, or is in the process of obtaining a Bachelor’s Degree plus at least 5 years of experience in data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus at least 3 years in data analytics, or currently has, or is in the process of obtaining PhD with an expectation that required degree will be obtained on or before the scheduled start date.
- At least 2 years of programming experience.
- PhD in Statistics, Economics, Mathematics, Financial Engineering, Operations Research, Engineering, Finance, Physics or related discipline.
- 1 year of experience with Python, R or other statistical analyst software.
- 2 years of experience with data manipulation and analysis with large data sets.
- 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.)
. 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.
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