Lead the definition and evolution of risk frameworks across the customer lifecycle, with a focus on early-stage and onboarding risk.
Design, develop, and own core fraud and risk metrics that inform decision-making, performance measurement, and strategy.
Partner with internal stakeholders (Product, Engineering, Risk Operations) to translate analytical insights into scalable solutions.
Evaluate, integrate, and manage external data sources to enhance risk detection and decisioning capabilities.
Define data requirements and partner with engineering to build and maintain reliable, production-grade data pipelines.
Act as a thought leader in fraud analytics, setting best practices for measurement & risk modelling.

Requirements

6–8 years of experience in data analytics, payments risk & fraud; fintech experience is a plus.
Very strong SQL & Python skills and proficiency with analytical tools.
Proven ability to analyze large, complex datasets to extract actionable insights.
Demonstrated experience owning ambiguous problem spaces and translating them into clear analytical frameworks and measurable outcomes.
Exceptional communication skills, with a track record of influencing cross-functional stakeholders and executive leaders.
Ability to thrive in a dynamic, fast-paced environment with competing priorities.
Strategic thinker with high intellectual curiosity and a passion for driving impact.

Benefits

Competitive compensation
Benefits programs that help to attract, retain, and motivate the best and brightest people

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLPythondata analyticsfraud metricsrisk frameworksdata pipelinesrisk modellinganalytical toolsdata integrationperformance measurement

Soft Skills

communicationinfluencingstrategic thinkingproblem-solvingadaptabilitycollaborationleadershipanalytical thinkingcuriosityimpact-driven