Risk

• Identify opportunities to reduce fraud losses on different streams and improve overall profitability, leveraging existing Fintech levers like advanced risk rules and Machine Learning.
• Support and implement end-to-end fraud prevention strategies—design controls, execute rollouts, measure impact, and iterate for continuous improvement.
• Design and launch A/B tests to evaluate and optimize new fraud prevention controls.
• Collaborate with stakeholders like Product, Engineering, Data Science to propose innovative and preventive fraud controls.
• Perform advanced risk analyses using SQL, Python and analytics platforms (e.g., Amplitude, Looker, BigQuery) to identify emerging fraud patterns and monitor key metrics.
• Contribute to machine learning workflows by partnering with Data Science: define relevant features, validate model outputs, and flag performance drift.
• Maintain and optimize a centralized escalation process for suspected fraud, ensuring timely reviews, feedback loops, and alignment with local teams to adapt risk controls regionally.
• Develop and maintain executive dashboards (Looker/Tableau) to track fraud OKRs, financial exposure, and compliance metrics; prepare regular updates for senior leadership.
• Drive clarity and resolve ambiguity on complex fraud topics, using data-driven approaches, simplifying concepts for different audiences (local ops, senior leadership, or external partners).
• Liaise with external vendors (fraud detection providers, payment gateways, acquirers, card schemes) to evaluate performance and ensure effective integration of third-party solutions.

Senior Fintech Risk Analyst

Manager, Study Governance