# Manager, Risk Strategy

**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 model governance for financial institution customers, overseeing a team while owning validation, monitoring, regulatory readiness, and customer relationships. Requires 8+ years in model risk or quantitative risk, 4+ years managing people, technical fluency, and a quantitative bachelor's degree.

## 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 strategy for model governance, including what to automate, standardize, and improve beyond industry norms.
- Own governance-related relationships across Data Science, Engineering, Partner Success, and Sales.
- Manage direct customer relationships, including customer-facing calls with model risk teams at banks and fintechs.
- Guide customers in advancing adoption while meeting governance standards, unblocking deals and deployments.
- Prepare validation reports, governance documentation, and performance summaries for leadership, customers, auditors, and regulators.
- Track governance findings through remediation and manage the team roadmap.
- Balance strategic work with customer and regulatory demands.
- Contribute hands-on when needed to move work forward and mentor the team.

## Requirements
- 8+ years of experience in model risk management, model validation, model governance, or quantitative risk.
- Proven experience building or scaling a governance or risk team.
- 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 effectively 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, with the ability to translate 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 field.
- 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 at banks or other regulated financial institutions.
- Experience with AWS, including S3 and SageMaker.
- Experience with 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, or equivalent for non-US-based roles.
- Flexible paid time off.
- Regular company-wide in-person events.
- Home office stipend.

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