Principal Associate, Data Scientist, Model Risk Office

5 days ago

McLean, United States Capital One National Association Full time
Principal Associate, Data Scientist, Model Risk Office

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 Data Scientist 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 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.

Team Description

In Capital One’s Model Risk Office, we defend the company against model failures and find new ways of making better decisions with models. We use our statistics, software engineering, and business expertise to drive the best outcomes in both Risk Management and the Enterprise.

Role Description

In this role, you will:

  1. Partner with a cross-functional team of data scientists, software engineers, and product managers to identify and quantify risks associated with models.
  2. Leverage a broad stack of technologies — Python, Conda, AWS, Spark, and more — to reveal the insights hidden within data.
  3. Build statistical/machine learning models to challenge “champion models” that are deployed in production today.
  4. Contribute to the model governance of the next generation of machine learning models.
  5. Flex your interpersonal skills to present how model risks could impact the business to executives.
The Ideal Candidate is:
  1. Innovative. You continually research and evaluate emerging technologies.
  2. Creative. You thrive on bringing definition to big, undefined problems.
  3. Technical. You’re comfortable with open-source languages and are passionate about developing further.
  4. Statistically-minded. You’ve built models, validated them, and backtested them.
  5. A data guru. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures.
Basic Qualifications:
  1. Currently has, or is in the process of obtaining a Bachelor’s Degree plus 5 years of experience in data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus 3 years in data analytics, or currently has, or is in the process of obtaining PhD.
  2. At least 1 year of experience in open source programming languages for large scale data analysis.
  3. At least 1 year of experience with machine learning.
  4. At least 1 year of experience with relational databases.
Preferred Qualifications:
  1. Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field.
  2. At least 1 year of experience working with AWS.
  3. At least 3 years’ experience in Python, Scala, or R.
  4. At least 3 years’ experience with machine learning.
  5. At least 3 years’ experience with SQL.
  6. At least 1 year’s experience building or validating models to detect financial crimes (Fraud Detection, Anti-Money Laundering).

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

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.

This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace.

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