Senior Manager, Quantitative Analysis – Model Risk

Senior Manager, Quantitative Analysis – Model Risk

At Capital One data is at the center of everything we do. As a startup, we disrupted the credit card industry by personally‑tailoring every credit card offer using statistical modelling and relational databases, 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 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.

As a Senior Manager, Quantitative Analyst within the Model Risk Office, you will be part of the Model Validation Team, working on the validation of Economic forecasting models, stress testing models, finance forecasting models and Interest Rate and Liquidity Risk Management models. Validations cover all aspects of model development and performance and include forward‑looking advancements in model sophistication and quality. You will enhance your technical and analytical skills, while also working closely with business leaders to influence business strategy.

With a network of over 200 quantitative analysts and statisticians, we’ve created a dynamic environment with plenty of room for you to learn, grow, and realize your full potential.

• 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 modelling 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

• Demonstrated track‑record in modelling and experience utilizing model estimation tools such as Python or R

• Ability to clearly communicate modelling 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…