Payments Risk & Optimization Analyst - Fintech

Mayflower • Cyprus

Visa Sponsorship Relocation

This Job is No Longer Active This position is no longer accepting applications

AI Summary

This role focuses on monitoring and optimizing payment performance, fraud detection, and risk management through data analysis and rule tuning. The candidate will work closely with cross-functional teams to drive improvements using data-driven insights. It involves developing dashboards, automating monitoring, and supporting product enhancements in a fast-paced fintech environment.

Key Highlights

Monitor and optimize payment performance, fraud mitigation, and routing strategies

Conduct deep-dive data analysis, create dashboards, and provide actionable insights

Collaborate with Product, Data, ML, and Operations teams to implement improvements

Technical Skills Required

SQL Python Redshift MySQL Clickhouse Tableau Amplitude Metabase

Benefits & Perks

Relocation package and Cyprus work visa support

Private health insurance and annual performance reviews

Comprehensive wellness, education, and professional growth benefits

Job Description

Monitor and optimise payments performance, including approval rates, decline patterns, 3DS flows, timeouts, retries and routing rules.
Analyse and reduce fraud-related declines, collaborate on tuning fraud rules and improving risk thresholds.
Perform deep-dive analyses to discover patterns, trends and new insights across card schemes, PSPs, BINs, countries and methods.
Drive actionable outcomes: update routing logic, cascading strategy, risk rules, issuer-specific heuristics and operational configurations.
Own continuous monitoring: daily health checks, anomaly detection and alerts on key metrics.
Build dashboards and monitoring tools in Metabase / Amplitude / Tableau
Prepare clear and actionable analytics reports for internal teams and leadership.
Evaluate impact of new features, routing changes, ML versions, product experiments and provide data-backed recommendations.
Work closely with Product, Data, ML, Payments Operations and Fraud teams to design and implement improvements end-to-end.

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