● Bachelor’s or Master’s degree in Finance, Economics, Statistics, Mathematics, Computer
Science, Engineering, or a related quantitative field.
● 3 to 6 years of hands-on experience in fraud strategy, specifically within Fintech, Digital
Payments, E-commerce, or Payment Gateways.
● Demonstrated experience in designing and implementing fraud rules using transactional,
behavioral, and third-party data.
● Strong proficiency in:
○ SQL: Advanced querying, joins, aggregations, and performance tuning for massive transactional datasets.
○ Python: Data manipulation (Pandas, NumPy), exploratory data analysis, and basic modeling; ability to productionize or hand over code to engineering teams.
● Solid analytical and problem-solving skills with the ability to translate data insights into actionable strategies that directly impact the bottom line