Manager, Data Science - Model and Script Enhancement (MASE) Compliance

Capital One Financial

Quick summary

Work type
On-site
Location
Richmond, VAMcLean, VA
Salary
$197,300–$225,100 / yr
Posted
2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $207k
This role $211k
$163k most similar roles pay here $248k

This role pays more than 59% of similar roles. Most pay $174,731–$239,902 — the shaded band above. At the midpoint, this role pays about $211k versus about $207k 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 798 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 794 roles with salary data.

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View all roles at Capital One Financial

At a glance

TL;DR · Manager, Data Science - Model and Script Enhancement (MASE) Compliance

As a Manager of Data Science in Capital One’s Compliance and Ethics Organization, you will lead the Model and Script Enhancement (MASE) team, focusing on assessing compliance risk in models and scripts. Your daily responsibilities include driving the Code Design Intent Review (CoDIR) process to evaluate regulatory requirements and script compliance, identifying high-risk scripts for review, and preparing assessment reports. You will also leverage GenAI and other technologies to enhance automation and improve processes. Ideal candidates possess at least four years of experience in Python, SQL, and Java, along with a strong background in banking regulatory compliance and risk management. This role requires innovative thinking, leadership skills, and the ability to build relationships across multiple groups within the organization.

What you'll do

  • Own and drive the Code Design Intent Review (CoDIR) process to assess compliance risk in scripts.
  • Identify high compliance risk scripts through methodology execution and monitoring.
  • Prepare and execute CoDIR assessments on identified scripts from various sources.
  • Report assessment results of CoDIR reviews to script owners and stakeholders.
  • Continuously research and apply emerging technologies like GenAI for process improvement.

What we're looking for

  • At least 4 years of experience in Python, SQL, and Java.
  • Experience with banking regulatory compliance.
  • Ability to own and drive the assessment process over computer code reviews.
  • Monitor Script Governance Inventory to identify high-risk scripts for review.
  • Prepare and execute Code Design Intent Review (CoDIR) assessments.
  • Identify opportunities to leverage GenAI or other technologies for improvement.

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