Capital One

Financial Services

SeniorManager,DataScience-ModelRiskOffice

$230–262k McLean, Virginia, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Manager candidates.

The Brief

“Senior Manager, Data Science - Model Risk Office at Capital One. Skills: Data Science, Model Risk, Machine Learning, Fraud Models. Partner with cross-functional team. Deliver a product customers love”

Industry & Context.

Financial Services
Problems you'll solve

Data-driven decision-making

What They're Looking For.

Must Have

Bachelor's Degree in quantitative field plus 7 years data analytics, Master's Degree in quantitative field or MBA with quantitative concentration plus 5 years data analytics, PhD in quantitative field plus 2 years data analytics, 2 years open source programming languages for large scale data analysis, 2 years working with machine learning, 2 years utilizing relational databases

Nice to Have

PhD in STEM field plus 4 years data analytics, 1 year experience working with AWS, 1 year experience managing people, 5 years experience in Python, Scala, or R for large scale data analysis, 5 years experience with hands-on Machine Learning model development and deployment, Experience with model development/deployment pipeline

What You'll Do.

Partner with cross-functional team

Deliver a product customers love

Leverage technologies to reveal insights

Build machine learning models

Design machine learning models

Train machine learning models

Evaluate machine learning models

Validate machine learning models

Implement machine learning models

Translate complexity into business goals

Investigate advanced algorithms

Create robust challenger models

Provide mentorship to junior data scientists

Explore cutting-edge solutions

Oversee card fraud model risk

Conduct thorough assessments of existing fraud models

Build independent challenger models

How You'll Work.

Team & Collaboration

Cross-functional team; Data scientists; Software engineers; Product managers

Communication Scope

Translate complexity

Full Job Description

Senior Manager, Data Science - 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. The successful candidate will join the Card Fraud Model Risk team, which is tasked with evaluating risk for Card Fraud models used throughout the customer lifecycle. This role covers fraud detection at various stages, including application, transaction, and payment, for both first-party and third-party use cases. The team conducts thorough assessments of existing fraud models and builds independent challenger models to ensure effective oversight. Working within a small, innovative group, you will act as a key individual contributor investigating advanced algorithms such as graph, neural, tree-based, and sequence methods to create robust challenger models. Additionally, you will provide mentorship to junior data scientists as you explore cutting-edge solutions and oversee card fraud model risk. **Role Description** **In this role, you will:** * Partner with a cross-functi

Free ATS check

Applying for this Senior Manager, Data Science - Model Risk Office role?

Most applicants get filtered before a human reads their resume. See if yours makes the cut.

How to Apply on Workday

  • Workday has a multi-step form — save your progress after every section.
  • "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
  • Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
  • Job requisition numbers are useful when following up with HR by email.

ANONYMOUS · UNFILTERED

What do employees actually say about Capital One?

Real rants from real employees. Read before you apply.

Read Company Rants →