Manager, Risk Strategy

About the role

SentiLink stops more than 150,000 fraud attempts and verifies more than 3 million identities every day to protect institutions and consumers. As a Manager of Model Governance, you will lead a team of 3+ data scientists and governance professionals, set long‑term strategy, and be accountable for what great model governance looks like—strategically and in day‑to‑day details. You’ll work alongside smart, highly collaborative colleagues who respect each other's time and judgment, take ownership, and follow through on commitments. The company’s corporate values are Follow Through, Deep Understanding, Whatever It Takes, and Do Something Smart.

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 the relationships that matter most.
• Guide customers on pushing adoption forward while meeting their governance standards; you’ll often be the one who unblocks a deal or a deployment.
• 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 to 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: 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.
• 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.
• Strong bias for action: balance governance rigor against speed