Manager, Data Scientist - Model Risk Office

Capital One Financial

Actively hiring
Mclean, Va, US Posted 135 days ago $179,400$204,700 / year

At a glance

AI generated

TL;DR

As a Manager of Data Science in the Model Risk Office at Capital One, you will lead efforts to safeguard against model failures and enhance decision-making through advanced analytics, particularly focusing on Generative AI. Your role involves leveraging technologies such as PyTorch, Hugging Face, LangChain, and vector databases to build machine learning models that challenge existing “champion models” and contribute to the governance framework for future models. You will validate a variety of models across multiple business domains within Enterprise Services and communicate model risks to executives effectively. This position requires at least four years of experience in machine learning, including GenAI, and building or validating models related to fraud detection, digital marketing, cybersecurity, and sensitive data detection. Ideal candidates are innovative, creative, technically proficient, and statistically-minded with a strong background in handling big data.

Skills

PyTorch HuggingFace LangChain VectorDatabases LLMOps observability platforms Python R SQL PostgreSQL TensorFlow Scikit-learn Kafka Spark CI/CD Git JupyterNotebook GitHub GoogleCloud AWS

What you'll do

  • Build machine learning models to challenge existing "champion models" in production.
  • Validate a wide variety of models across multiple business domains within Enterprise Services.
  • Present model risks and their potential impact on the business to executives.
  • Utilize advanced technologies like PyTorch, Hugging Face, and LangChain for data analysis.
  • Continuously innovate and develop superior tools for model governance and risk management.
  • Acquire new skills in statistics, software engineering, and business to enhance decision-making.

What we're looking for

  • At least 4 years of experience in building or validating models related to fraud detection, digital marketing, cybersecurity, or sensitive data detection.
  • At least 4 years’ experience with machine learning, including Generative AI (GenAI).
  • Experience utilizing relational or vector databases for at least 1 year.
  • Proficiency in a broad stack of technologies including PyTorch, Hugging Face, LangChain, and observability platforms.
  • Strong statistical skills and ability to handle large volumes of multi-modal data.
  • Excellent interpersonal and communication skills to present model risks to executives.

Market check

Salary context

This $179,400–$204,700 range sits above 62% of similar postings on FindRole.

Peer median band

$124,000$225,000

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$145,425$213,937

Middle half of comparable postings.

Based on 239 comparable postings.

* 240 is the maximum number of comparable postings sampled.

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 489 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 483 roles with salary data.

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View all roles at Capital One Financial

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