Manager, Quantitative Analysis

About the Role

At Capital One, data is at the center of everything we do. As part of Capital One’s Model Audit team, you will have a unique vantage point to review models and model risk practices across the enterprise and the opportunity to connect the dots to raise the appropriate model risk issues and provide assurance to the Audit Committee. Successful candidates will partner cross-functionally with business throughout the company to deliver breakthrough analytical solutions to support a winning strategy in a continually changing business environment.

Key Responsibilities

• Apply deep expertise in econometric, statistical, and machine learning methods to generate critical insights and decision frameworks for our business and customers.
• Remain on the leading edge of analytical technology with a passion for the newest and most innovative tools.
• Communicate technical subject matter clearly and concisely to individuals from various backgrounds.
• Partner with the various lines of business to enhance modeling and analytical framework.
• Work across Capital One entities to create novel analytical solutions to challenging business problems.
• Identify opportunities to apply quantitative methods, machine learning, and automation solutions to improve business performance and process efficiencies.
• Collaborate in a cross-disciplinary team to build cloud-based solutions grounded in data.
• Develop and maintain high-quality and transparent documentation.

Requirements & Tech Stack

• Expertise in quantitative analysis is central to our success.
• Strong understanding of quantitative analysis methods in relation to financial institutions.
• Demonstrated track-record in machine learning and 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.
• Proficiency in key econometric and statistical techniques including:
• predictive modeling
• logistic regression
• survival analysis
• panel data models
• design of experiments
• decision trees
• machine learning methods
• Desire to remain on the leading edge of analytical technology with a passion for the newest and most innovative tools.

Qualifications

• Currently have, or are in the process of obtaining one of the following (degree to be obtained on or before 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 4 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 1 year of experience in quantitative analytics.
• At least 4 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 4 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

• 5 years of experience with Python, R or other statistical analyst software.
• 5 years of experience in statistical modeling or regression analytics or machine learning.
• At least 2 years of experience in derivative modeling (Fixed income, Commodity, FX or CDS).