Fraud Business Intelligence Analyst
Vana.com
Office
Guatemala
Full Time
About the RoleWe’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.
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.