# Manager, Quantitative Risk Management

**Company:** [SentiLink](https://hotfix.jobs/companies/sentilink)
**Location:** Remote
**Role:** Engineering Management
**Salary:** $210k – $240k/yr
**Experience:** 8+ years
**Skills:** Python, SQL, Postgres, AWS, amazon ec2, amazon s3, amazon rds, amazon redshift, amazon sagemaker, GitHub, Excel, Google Sheets, Machine Learning, model validation, fair lending
**Posted:** 2026-08-13

> Leads and scales a model governance function for fraud and identity risk models, managing a team while owning validation, monitoring, regulatory compliance, and customer relationships. Requires 8+ years in model risk or quantitative risk and 4+ years of people management.

## Job Description

## Responsibilities
- Lead, grow, and develop a team of 3+ data scientists and governance professionals.
- Own and improve performance monitoring, drift monitoring, fair lending assessments, governance documentation, validation, model inventory, and change management.
- Set the long-term strategy for model governance, including automation, standardization, and areas requiring higher-than-industry rigor.
- Own governance relationships across Data Science, Engineering, Partner Success, and Sales.
- Run customer-facing calls with model risk teams at banks and fintechs.
- Guide customers in adopting models while meeting governance standards and unblock deals or deployments.
- Prepare validation reports, governance documentation, and performance summaries for leadership, customers, auditors, and regulators.
- Track governance findings through remediation and manage the team's roadmap.
- Contribute hands-on when needed to move work forward or mentor the team.

## Requirements
- 8+ years of experience in model risk management, model validation, model governance, or quantitative risk.
- 4+ years of people management experience, including building and scaling model risk or governance teams.
- Deep knowledge of model governance for financial institutions, including SR 11-7, SR 26-2, OCC guidance, fair lending, and the regulatory landscape.
- Firsthand experience validating or governing machine learning or statistical models in a regulated environment.
- Ability to read models, interrogate methodologies, and collaborate deeply with data scientists.
- Working knowledge of Python and proficiency in SQL.
- Strong analytical skills using Excel or Google Sheets.
- Excellent written and verbal communication skills, including translating technical findings for technical and non-technical audiences.
- Bachelor's degree in a quantitative field such as Mathematics, Statistics, Computer Science, Engineering, Economics, or a related STEM discipline.
- Must be legally authorized to work in and reside in the United States.

## Nice-to-Haves
- Experience with fraud, identity verification, credit risk, or financial risk models.
- Experience supporting model governance with banks or regulated financial institutions.
- Experience with AWS, including S3 and SageMaker, and GitHub.
- Master's degree in a quantitative field.

## Technologies
- Python 3
- PostgreSQL
- AWS infrastructure, including EC2, S3, RDS, and Redshift

## Compensation and Benefits
- $210,000-$240,000 per year plus equity and benefits.
- Employer-paid group health insurance for employees and dependents.
- 401(k) plan with employer match.
- Flexible paid time off.
- Regular company-wide in-person events.
- Home office stipend.

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