Senior Associate, Data Science

About the Role

As a Data Scientist at Capital One, you’ll be part of a team leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock opportunities that help everyday people save money, time, and agony in their financial lives.

The Credit Risk Management, Loss Forecasting and Allowance team uses the latest technologies and innovative models to forecast and optimize future losses associated with Capital One’s credit card portfolio. We partner with model development and software engineering teams to build predictive models and automate insight generation. You will focus on loss forecasting modernization and data transformation, supporting card loss forecasting: resilience, outlook, allowance, and CCAR.

Responsibilities

• Partner with a cross-functional team of data scientists, software engineers, and product managers to identify and quantify risks associated with models.
• Leverage a broad stack of technologies — Python, Conda, AWS, Spark, and more — to reveal insights hidden within data.
• Build statistical/machine learning models to challenge “champion models” deployed in production today.
• Contribute to the model governance of the next generation of machine learning models.
• Present how model risks could impact the business to executives.

Qualifications

Basic Qualifications

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 2 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.

Preferred Qualifications

• Master’s Degree or PhD in a “STEM” field (Science, Technology, Engineering, or Mathematics).
• Experience working with AWS.
• At least 2 years’ experience in Python, Scala, or R.
• At least 2 years’ experience with machine learning.
• At least 2 years’ experience with SQL.

Skills

• Innovative: Continually research and evaluate emerging technologies, staying current on published state-of-the-art methods and seeking opportunities to apply them.
• Creative: Thrive on bringing definition to big, undefined problems, asking questions, and pushing hard to find answers.
• Technical: Comfortable with open-source languages and passionate about developing further, with hands-on experience using open-source tools and cloud computing platforms.
• Statistically-minded: Experience building, validating, and backtesting models using a wide array of methods.
• Data Guru: Skilled at retrieving, combining, and analyzing data from a variety of sources and structures. Understanding data is key to great data science.

Pay

The minimum and maximum full-time annual salaries for this role are listed below, by location. Salaries for part-time roles will be prorated based on the agreed-upon number of hours worked.

• McLean, VA: $135,600 - $154,800 for Sr Assoc, Data Science
• Richmond, VA: $123,300 - $140,700 for Sr Assoc, Data Science

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.