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

Hobbsnews; Richmond (VA); On-site; USD 179,400 - 204,700; Full time

Benefits offered by this job

Comprehensive health benefits

Performance-based incentives

Inclusive workplace

Job summary

Hobbsnews is looking for a Manager, Data Science to lead compliance assessments of models and scripts. The ideal candidate will have a solid analytics background with a degree in a quantitative field and several years of experience in data analytics and machine learning.

This Richmond, VA position offers competitive salary ranges of $179,400 – $204,700, with opportunities for performance-based incentives. The company emphasizes continuous improvement and innovation, especially in compliance management.

Qualifications

• 6 years of data-analytics experience with a Bachelor’s degree.
• 4 years with a Master's or MBA.
• 1 year with a PhD.
• 1 year experience in machine learning.

Responsibilities

• Own and drive computer code review assessments.
• Identify high compliance risk scripts.
• Monitor high-risk scripts for reviews.
• Prepare reports on assessments.
• Implement improvements using GenAI.

Skills

Open-source programming

Machine learning

Data analytics

Relational databases

Python

SQL

Java

Education

Bachelor’s Degree in Statistics or related field

Master’s Degree in a quantitative field or MBA

PhD in a quantitative field

Job description

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

Data is at the center of everything we do. We disrupted the credit‑card industry by personalizing offers using statistical modeling and advanced technology, and have grown into a Fortune 200 company that leads in data‑driven decision‑making.

In Capital One’s Compliance and Ethics Organization we support the business in managing regulatory compliance risk through advice and effective challenge. MASE focuses on assessing compliance risk in models and scripts and advising the business on how to manage the identified risk.

Role Description

In this role, you will:

• Own and drive the assessment process over computer code (script) reviews – Code Design Intent Review (CoDIR).
• Own and execute the methodology for identifying high compliance risk scripts.
• Monitor the Script Governance Inventory to identify high‑risk scripts as candidates for CoDIR review.
• Prepare CoDIR assessments and report results.
• Execute CoDIRs on scripts identified through the model risk assessment process; referred by the Compliance testing program or other channels.
• Identify opportunities to leverage GenAI or other capabilities to improve processes and automation.

The Ideal Candidate is:

• Innovative – continually researches emerging technologies and seeks ways to apply them.
• A leader – challenges conventional thinking and works with stakeholders to improve the status quo.
• Statistically‑mind — has built and validated models; familiar with coding logic and languages.
• Risk‑management focused – understands the importance and role of compliance risk management.
• Team Player – builds and manages relationships across multiple groups.

Basic Qualifications

• Currently has, or is in the process of obtaining one of the following, with an expectation that the degree will be obtained on or before the scheduled start date:
  • A Bachelor’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related) plus 6 years of data‑analytics experience.
  • A Master’s Degree in a quantitative field or an MBA with quantitative concentration plus 4 years of data‑analytics experience.
  • A PhD in a quantitative field plus 1 year of data‑analytics experience.
• At least 1 year of experience leveraging open‑source programming languages for large‑scale data analysis.
• At least 1 year of experience working with machine learning.
• At least 1 year of experience utilizing relational databases.

Preferred Qualifications

• At least 4 years of experience in Python, SQL, and Java.
• At least 4 years of experience with machine learning.
• Banking regulatory compliance experience.

Salary and Compensation

McLean, VA: $197,300 – $225,100

Richmond, VA: $179,400 – $204,700

This role may earn performance‑based incentive compensation, which could include cash bonuses and/or long‑term incentives.

Benefits

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

Equal Opportunity & Other Statements

Capital One is an equal‑opportunity employer (EOE, including disability/vet) committed to non‑discrimination in compliance with applicable laws. Capital One promotes a drug‑free workplace.

Qualified applicants with a criminal history will be considered in accordance with applicable laws regarding background inquiries.

If you require accommodations, please contact Capital One Recruiting at 1‑800‑304‑9102 or via email at [e-mail]. All information you provide will be kept confidential.

Capital One does not provide, endorse, or guarantee third‑party products, services, educational tools, or other information available through this site.

Capital One Financial is made up of several entities. Positions posted in Canada are for Capital One Canada; in the United Kingdom for Capital One Europe; and in the Philippines for Capital One Philippines Service Corp.