\n Key Responsibilities\n
\n\n
\n
\n ? Domain Expertise: Proven experience in the Payments Industry, specifically dealing with Transactional Fraud, Digital Wallets, Payment Gateways, and E-commerce fraud\n
\n\n ? Fraud Strategy & Mitigation: Design, implement, and manage robust fraud prevention strategies for C2C (peer-to-peer) and C2B (merchant checkout) payment products, as well as Debit Card portfolios (covering both Card Present and Card Not Present transactions).\n
\n\n ? Authorization Optimization: Analyze transaction data to improve payment authorization rates across various checkout flows (both branded and unbranded/guest checkouts) while keeping fraud losses within risk appetite.\n
\n\n ? Customer Experience (CX): Balance aggressive fraud mitigation with user experience by minimizing false positives (false declines) and reducing unnecessary friction for legitimate customers.\n
\n\n ? Data-Driven Investigation: Investigate suspicious transaction patterns, account takeovers (ATO), and payment anomalies to determine root causes and develop proactive statistical models/rules.\n
\n\n ? System & Rule Development: Design and deploy fraud rules within decision engines and workflow systems. Build comprehensive monitoring reports to track the performance of fraud strategies.\n
\n\n
\n
\n Required Qualifications\n
\n\n ? Bachelor’s or Master’s degree in Finance, Economics, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field.\n
\n\n ? 3 to 7 years of hands-on experience in fraud strategy, specifically within Fintech, Digital Payments, E-commerce, or Payment Gateways.\n
\n\n ? Demonstrated experience in designing and implementing fraud rules using transactional, behavioral, and third-party data.\n
\n\n ? 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.\n
\n\n ? Strong analytical and problem-solving skills with the ability to translate data insights into actionable strategies that directly impact the bottom line\n
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