Manager, Risk Strategy

SentiLink · Remote · United States ·
Fully remoteFull-timeLead8+ years
COMPENSATION
€•• – ••k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Fully remote (US)
  • Lead 3+ person team
  • Python + SQL required
  • Model risk expertise
  • $210k-$240k base

You will own the end-to-end model risk function, setting long-term strategy while handling day-to-day governance details. The role requires leading a growing team of data scientists and governance professionals to balance rigorous compliance with rapid product deployment.

This position serves as a bridge between technical teams, customers, and regulators. You will manage customer relationships regarding governance standards and prepare validation reports for auditors and internal leadership.

What you'll do

  • Lead and scale a team of data scientists and governance professionals
  • Define strategy for automation, standardization, and industry benchmarks
  • Manage performance monitoring, drift analysis, and fair lending assessments
  • Handle customer-facing calls and collaborate with bank model risk teams
  • Prepare validation reports and documentation for regulators and auditors
  • Track governance findings through remediation and manage team roadmap
  • Perform hands-on technical work to mentor team or unblock projects

What you'll need

  • 8+ years in model risk management, validation, or quantitative risk
  • 4+ years managing and scaling model risk or governance teams
  • Deep knowledge of SR 11-7, SR 26-2, OCC guidance, and fair lending
  • Proficiency in Python and SQL with ability to interrogate model methodology
  • Strong analytical skills using Excel or Google Sheets
  • Bachelor's degree in Math, Statistics, CS, Engineering, or Economics
  • Must be legally authorized to work and reside in the US

Nice to have

  • Experience with fraud, identity verification, or credit risk models
  • Background supporting model governance at banks or regulated institutions
  • Familiarity with AWS services like S3 and SageMaker
  • Experience using GitHub for version control
  • Master's degree in a quantitative field

Stack

  • Python 3
  • PostgreSQL
  • AWS
  • EC2
  • S3
  • RDS
  • Redshift

How you'll work

  • Fully remote within the United States
  • Digital-first company with US and India collaboration
  • Regular in-person meetings for relationship building

What you get

  • Base salary range $210,000 to $240,000 per year
  • Equity compensation included
  • Employer-paid group health insurance for dependents
  • 401(k) plan with employer match
  • Flexible paid time off
  • Home office stipend provided