Manager, Model Risk and Governance

SentiLink

Model risk manager governing fraud-detection models for SentiLink, an identity verification company. Leading governance strategy, customer relationships, regulatory validation, and a growing risk team.

Posted 8/8/2026full-timeRemote • 🇺🇸 United StatesSeniorLead💰 $210,000 - $240,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in model risk management and governance, with a strong focus on performance monitoring, validation, and regulatory compliance. Proven ability to lead and develop teams while effectively communicating complex technical concepts to diverse audiences.

Highest-signal resume keywords

Model Risk ManagementModel ValidationGovernance DocumentationPeople ManagementPython Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Model GovernanceQuantitative RiskPerformance MonitoringData AnalysisStatistical ModelsSQLExcelChange ManagementFair Lending AssessmentsRegulatory Compliance

Soft Skills

Analytical SkillsCommunication SkillsTeam LeadershipMentoringCustomer Engagement

Tools & Technologies

AWSGitHubGoogle SheetsS3SageMaker

Industry Keywords

SR 11-7SR 26-2OCC GuidanceFinancial InstitutionsModel Governance

Tech Stack

Tools & technologies

AWSPythonSQL

About the role

Key responsibilities & impact

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 the model risk and governance function
Decide what to automate, what to standardize, and where to exceed industry norms
Own governance-related relationships across Data Science, Engineering, Partner Success, and Sales
Run customer-facing calls and work directly with model risk teams at banks and fintechs
Guide customers on 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
Perform hands-on work when needed to advance initiatives or mentor the team

Requirements

What you’ll need

8+ years in model risk management, model validation, model governance, or quantitative risk
Proven experience building or scaling a governance/risk team
4+ years of people management experience
Deep knowledge of model governance for financial institutions
Knowledge of SR 11-7, SR 26-2, OCC guidance, fair lending, and the regulatory landscape
Firsthand experience validating or governing ML/statistical models in a regulated environment
Ability to read models, interrogate methodology, and work effectively with data scientists
Working knowledge of Python and proficiency in SQL
Strong analytical skills using Excel/Google Sheets
Excellent written and verbal communication skills; able to translate technical findings for technical and non-technical audiences
Bachelor's degree in a quantitative field such as Math, Statistics, CS, Engineering, Economics, or related STEM
Must be legally authorized to work in and reside in the US
Nice to have: experience with fraud, identity verification, credit risk, or financial risk models
Nice to have: experience supporting model governance with banks or regulated financial institutions
Nice to have: experience with AWS (S3, SageMaker) and GitHub
Nice to have: Master's degree in a quantitative field

Benefits

Comp & perks

Employer paid group health insurance for you and your 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