Fraud Data Analyst

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/78ecr4

Responsibilities Architect Real-Time Strategies – You will be responsible for our real-time decisioning engine, designing and deploying logic that combines ML scores with velocity features to make millisecond decisions.
Precision Rule Development – Translate complex fraud patterns into high-performing rules, optimizing the balance between False Positive Rates (FPR) and Gross Fraud Loss.
Deconstruct Payment Fraud – Proactively hunt for emerging schemes (ATO, social engineering) and turn these insights into end-to-end mitigation strategies.
Optimize the Decisioning Stack – Partner with Product and Engineering to define analytical requirements for new features and third-party data signals.
Calibrate ML & Heuristics – Work with Data Science to operationalize machine learning models, determining how to best "wrap" model scores with heuristic rules.
Champion Frictionless UX – Analyze security measures to identify unnecessary hurdles,



designing dynamic friction strategies for a seamless user experience.
Strategic Performance Reporting – Monitor rule efficacy and portfolio health, presenting data-driven recommendations to senior leadership to evolve our risk appetite.
Requirements Experience – You have between 3 and 7 years of professional experience, specifically within the risk, payments, or credit sectors.
Technical Proficiency – You are highly skilled in SQL and Python for data analysis and strategy development.
Domain Expertise – You have a solid understanding of payment fraud dynamics and experience working with real-time decisioning environments.
Communication – You possess excellent communication skills and are fluent in English.
Nice to Have – Experience with Machine Learning, Data Science, PySpark, or GraphQL knowledge is a significant plus.
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Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/78ecr4