Director, Quantitative Analysis

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Apache Hadoop, Scala Programming, Machine learning techniques, Data science techniques, PyTorch, TensorFlow, MapReduce, R Programming

Job Description

Center 2 (19050), United States of America, McLean, Virginia

Director, Quantitative Analysis

At Capital One data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

As a Quantitative Analyst Leader 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.

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 and statistical modeling, and apply these skills toward 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.

Expertise in quantitative analysis is central to our success in all markets. Our modelers thrive in a culture of mutual respect, excellence and innovation.

Successful candidates would possess:

• Demonstrated track-record in modeling and or model validation, and experience utilizing model estimation tools such as Python or R. 
• Ability to clearly communicate modeling results to management, model risk validation teams, regulators and other modelers. 
• Drive to continuously improve all aspects of their work in a collaborative fashion.
• Strong communication skills with the ability to quickly understand existing models and new requirements/business needs.
• 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.

Basic Qualifications:

• Bachelor’s Degree plus at least 9 years of experience in data analytics, or Master’s Degree plus at least 7 years of experience in data analytics, or PhD plus at least 4 years of experience in data analytics, financial modeling or econometric modeling 
• At least 4 years of experience in statistical or econometric modeling

Preferred Qualifications:

• PhD in Statistics, Economics, Mathematics, Financial Engineering, Operations Research, Engineering, Finance, or Physics
• At least 5 years of experience in statistical modeling or regression analytics
• At least 2 years of experience managing a team of analysts.
• Model development or validation experience, stress-testing models (Comprehensive Capital Analysis and Review, or CCAR), or loss reserving (Allowance for Credit Loss (ACL) under the Current Expected Credit Losses (CECL) framework 
• Experience with Time series modeling 

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.