Senior Manager – Quantitative Analysis – Model Risk
| Company | Capital One |
|---|---|
| Location | McLean, VA, USA, Richmond, VA, USA, New York, NY, USA |
| Salary | $204900 – $280600 |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s, MBA, PhD |
| Experience Level | Senior |
Requirements
- 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.
- 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.
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.
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