About the Role
We’re looking for a Fraud BI Analyst with hands-on experience in fraud prevention and risk analysis to strengthen our fraud detection and monitoring ecosystem.
This role combines data analysis, rule design, and operational investigation — requiring both analytical rigor and creativity to anticipate fraud patterns and improve our protection strategies.
You’ll work closely with the Fraud Manager, Data Science, and Engineering teams to design data-driven fraud prevention rules, monitor key KPIs, and detect new fraud behaviors across markets.
Key Responsibilities:
• Monitor fraud indicators and identify anomalies or emerging patterns across markets.
• Investigate suspicious cases and define new preventive rules based on findings.
• Perform exploratory analysis using SQL and Python to generate insights and improve detection accuracy.
• Track fraud KPIs (fraud rate, FPR/FNR, conversion impact) and generate reports and dashboards for internal monitoring.
• Collaborate with cross-functional teams (Credit, Compliance, Data Science, Engineering) to ensure alignment and operational impact.
• Document rules, investigations, and outcomes to build institutional fraud knowledge.
• Proactively propose improvements, automation ideas, and new data sources for detection.
Qualifications:
• Bachelor's degree in Economics, Computer Science, Statistics, Engineering or related quantitative field [MUST]
• 2+ years of experience in data analysis, or business intelligence within the fintech, insurance, or banking industries [MUST]
• Hands-on experience in fraud detection, rule design, and investigation of suspicious behavior [MUST]
• Proficiency in SQL [MUST]
• Experience with BI or monitoring tools (Tableau, Looker, Datadog, or similar) [MUST]
• Experience using Python for analysis [DESIRABLE]
• Strong analytical skills and a problem-solving mindset, with the ability to extract actionable insights from data [MUST]
• Self-motivated learner who thrives in fast-paced environments [MUST]
• Understanding of consumer behavior, alternative data sources, and digital lending platforms [DESIRABLE]
What We Offer:
• Opportunity to work in a dynamic and collaborative environment.
• Professional growth and development opportunities through mentorship and hands-on experience.
• Exposure to cutting-edge fintech technologies and best practices.
• Chance to contribute to impactful projects and make a difference in the company's success.
