Principal Fraud Analyst, Payments – Onboarding
Job Description:
• 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
Apply tot his job
Apply To this Job
• 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
Apply tot his job
Apply To this Job