Principal Associate, Data Scientist - MS CLIP Valuations

Capital One Financial

Quick summary

Work type: On-site
Location: Richmond, VA · McLean, VA
Salary: $161,800–$184,600 / yr
Posted: 3 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $166k

This role $173k

$100k most similar roles pay here $233k

This role pays more than 64% of similar roles. Most pay $135,000–$197,820 — the shaded band above. At the midpoint, this role pays about $173k versus about $166k for comparable roles.

Based on 240 similar postings.

Employer

About Capital One Financial

Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking

Capital One Financial currently has 573 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 569 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Principal Associate, Data Scientist - MS CLIP Valuations

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As a Principal Associate Data Scientist on the Mainstreet CLIP valuations team at Capital One, you will play a pivotal role in developing sophisticated credit tools that influence the company’s P&L. Your day-to-day responsibilities include collaborating with credit analysts to design and implement innovative solutions using Python, ensuring these tools are both powerful and user-friendly. You’ll work closely with data science partners and credit experts to translate complex business needs into technical solutions, driving significant impact on a platform that extends over $12 billion in annual credit. This role demands expertise in big data handling, strong analytical skills, and the ability to innovate while maintaining a customer-first approach.

Skills

Python SQL AWS CI/CD Docker Kubernetes PostgreSQL BigQuery Hadoop Spark Scikit-learn TensorFlow PyTorch Git Jupyter Notebook Prometheus Grafana

What you'll do

Design and develop sophisticated credit tools using Python.
Support credit analysts in defining the lending strategy through innovative solutions.
Influence P&L by driving business impact with data-driven decisions.
Translate complex needs into actionable technical solutions for credit decision-making.
Work closely with data science partners to build advanced infrastructure.

What we're looking for

Extensive experience in building sophisticated credit tools using Python.
Proven ability to collaborate with credit analysts and data science partners.
Strong background in shaping credit and lending strategies through technical solutions.
Demonstrated impact on business P&L through innovative data-driven initiatives.
Expertise in handling big data and developing scalable infrastructure solutions.

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