matchmatch - Anti-Fraud Business Lead (Fintech Farm)
Requirements
• Strong experience in fraud prevention, transaction monitoring, or risk analytics, with a solid understanding of fraud detection systems; • Experience owning projects or business areas, driving initiatives from concept to delivery, and being accountable for outcomes; • Advanced SQL skills with the ability to independently write complex queries; • Experience working with ClickHouse, PostgreSQL, or similar analytical databases; • Deep technical understanding of transaction processing, payment systems, card products, and how fraud prevention systems operate internally; • Experience with mobile banking or fintech applications and a strong understanding of customer journeys in digital banking; • Experience defining requirements for engineering teams and supporting development and testing lifecycles; • Strong analytical mindset with the ability to identify patterns where others see randomness; • High degree of ownership and accountability, with the ability to work independently and proactively. • Nice-to-Have: • Experience working in banking, fintech, or payment services within emerging markets; • Understanding of AML/KYC regulatory requirements; • Experience managing fraud operations teams or cross-functional teams; • Familiarity with machine learning approaches in fraud prevention and basic data engineering concepts.
Responsibilities
• Own the fraud prevention agenda for a specific market as a project lead: objectives, roadmap, priorities, and outcomes; • Balance fraud protection and customer experience, using data to support decisions; • Align initiatives with the central Fraud team, Product, Operations, and Risk functions; • Create business requirements and tasks for fraud prevention logic, including rules, thresholds, trigger scenarios, and system actions; • Translate business goals and analytical insights into clear and actionable development requirements; • Maintain up-to-date documentation for fraud rules and review workflows; • Manage the full implementation cycle, from requirement definition to production release; • Participate in testing, validate rule performance, and assess results using real-world data; • Monitor implementation quality and respond quickly to issues after deployment; • Train fraud operations teams on alert handling, decision-making processes, and escalation criteria; • Develop procedures, playbooks, and operational guidelines; • Collect feedback from operators and incorporate it into rule improvements; • Investigate fraud incidents and cases, reconstruct attack scenarios, and identify root causes; • Analyze fraud patterns, identify emerging threats, and formulate mitigation hypotheses; • Define requirements for new fraud prevention mechanisms and drive them through implementation; • Monitor rule effectiveness, including fraud loss prevention, false-positive rates, and customer journey impact, and adjust configurations when necessary; • Independently analyze large volumes of transactional and behavioral data; • Write complex SQL queries, build analytical views, dashboards, and regular performance reporting; • Segment customer populations and identify anomalies and deviations from expected behavior.
Benefits
• The opportunity to work alongside Fintech Farm's central Fraud team, bringing international expertise and best practices; • Competitive compensation with performance-based bonuses; • Flexible working arrangements; • Strong growth opportunities, both vertically (ML models, data engineering) and horizontally (product and business decision-making); • Fully remote work environment;
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