Senior Manager, Quantitative Analysis - Model Risk Office
About the role
As a Quantitative Senior Manager 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. Within the Model Risk function, you will partner with high-performing model development teams and model risk teams responsible for advancing Capital One’s Loan Loss Forecasting and Allowance for Credit Losses (ACL) framework.
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.
Qualifications
Basic Qualifications
- Currently has, or is in the process of obtaining one of the following (required degree must be obtained on or before the scheduled start date):
- 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 in quantitative 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 in quantitative analytics.
- At least 5 years of experience in each of the following skills through education or experience:
- Statistical or econometric modeling.
- Linear and logistic regression.
- Programming in R, Python, or SQL.
- Presenting statistical concepts and research results to non-statistical audiences.
- At least 5 years of experience in at least 3 of the following skills:
- Survival analysis modeling.
- Time-series analysis.
- Panel data (longitudinal data or cross-sectional time-series data) analysis.
- Cross-sectional data analysis.
- Machine learning.
- Analysis and management of large datasets (>1M records).
Preferred Qualifications
- 6 years of experience with Python, R, or other statistical analyst software.
- 6 years of experience in statistical modeling, regression analytics, or machine learning.
- 2 years of experience managing people.
- 6 years of experience in models for Commercial Bank.
Skills
- Demonstrated track record in modeling and experience utilizing model estimation tools such as Python or R.
- Ability to clearly communicate modeling or validation results to management, model risk officers, regulators, and other modelers.
- Drive to continuously improve all aspects of 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.
Pay
The annual full-time salary ranges for this role are as follows (part-time salaries will be prorated):
- McLean, VA: $229,900 - $262,400
- Anytown, IL: $209,000 - $238,500
- Riverwoods, IL: $209,000 - $238,500
Candidates hired to work in other locations will be subject to the pay range associated with that location. This role is also eligible for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI).
Benefits
Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well-being. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. Learn more at the Capital One Careers website.