Manager, Risk Strategy

About the Company

SentiLink provides innovative identity and risk solutions, empowering institutions and individuals to transact with confidence. We’re building the future of identity verification in the United States, replacing a clunky, ineffective, and expensive status quo with solutions that are 10x faster, smarter, and more accurate. Our real-time APIs have helped verify hundreds of millions of identities, starting with financial services and rapidly expanding into new markets. SentiLink is backed by world-class investors including Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin. We support a variety of work arrangements, ranging from fully remote to in-office, and operate as a digital-first company with strong collaboration across the U.S. and India. We maintain physical offices in Austin, San Francisco, New York City, Seattle, Los Angeles, Chicago, Gurugram (Delhi), and Bengaluru.

About the Role

SentiLink builds models that financial institutions rely on to catch fraud in real time. Every one of those models must hold up to the scrutiny of our customers' model risk teams, their regulators, and their auditors—without slowing down how fast we ship. This role owns that tension end-to-end. As Manager, you’ll lead a team of 3+ data scientists and governance professionals, set the long-term strategy, and be accountable for what great model governance looks like here, both strategically and in day-to-day execution. This is a lead-from-the-front role requiring the depth and willingness to step in hands-on when needed. The team will grow as the company does, and you’ll be the one building it. This is a remote, US-based role.

Technologies: Python 3, PostgreSQL, and AWS infrastructure (EC2, S3, RDS, Redshift, etc.)

Responsibilities

• Lead, grow, and develop a team of 3+, with real room to scale as the business does.
• Own the fundamentals and raise the bar on execution: performance monitoring, drift monitoring, fair lending assessments, governance documentation, validation, model inventory, and change management.
• Set the strategy for the function. Decide what to automate, what to standardize, and where to exceed industry norms.
• Own relationships for anything governance-related across Data Science, Engineering, Partner Success, and Sales.
• Own customer relationships directly. Run customer-facing calls, work with model risk teams at banks and fintechs, and get ahead of key relationships.
• Guide customers on pushing adoption forward while meeting their governance standards. You’ll often unblock deals or deployments.
• Prepare validation reports, governance documentation, and performance summaries for internal leadership, customers, auditors, and regulators.
• Track governance findings through remediation and manage the team’s roadmap, balancing strategic work against customer and regulatory demands.
• Do the work yourself when warranted, to move something forward or mentor the team.

Requirements

• 8+ years in model risk management, model validation, model governance, or quantitative risk, including proven experience building or scaling a governance/risk team (not just operating within one).
• 4+ years of people management experience with proven experience building and scaling model risk or governance teams.
• Deep knowledge of model governance for financial institutions. You know SR 11-7, SR 26-2, OCC guidance, fair lending, and the regulatory landscape, and have firsthand experience validating or governing ML/statistical models in a regulated environment.
• Genuine technical depth: able to read the model, interrogate the methodology, and hold your own with data scientists. Working knowledge of Python and proficiency in SQL.
• A strong bias for action. You balance governance rigor against speed with judgment rather than defaulting to either.
• Strong analytical skills (Excel/Google Sheets) and excellent written/verbal communication, comfortable translating technical findings for both technical and non-technical audiences.
• Bachelor’s degree in a quantitative field (Math, Statistics, CS, Engineering, Economics, or related STEM).
• Must be legally authorized to work in and reside in the US.

Nice to Haves

• Experience working with fraud, identity verification, credit risk, or financial risk models.
• Experience supporting model governance with banks or regulated financial institutions.
• Experience with AWS (S3, SageMaker) and GitHub.
• Master’s degree in a quantitative field.

Pay

$210,000–$240,000/year + equity + benefits

Benefits

• 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, and more.

Corporate Values

• Follow Through
• Deep Understanding
• Whatever It Takes
• Do Something Smart