Qualifications:
● 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. ● Robust analytical and problem-solving skills with the ability to translate data insights into actionable strategies that directly impact the bottom line