Satispay
financial platform
FraudDataAnalyst
Neural analysis suggests this role is
optimal for Mid candidates.
“Fraud Data Analyst at Satispay. Skills: SQL, Python, payment fraud dynamics, real-time decisioning. Architect Real-Time Strategies. designing and deploying logic that combines ML scores with velocity features to make millisecond decisions”
What You'll Achieve.
secures the future of digital payments; optimizing the balance between False Positive Rates (FPR) and Gross Fraud Loss; evolve our risk appetite
Industry & Context.
problem-solver; architecting sophisticated real-time defense strategies; Translate complex fraud patterns into high-performing rules; Deconstruct Payment Fraud; Proactively hunt for emerging schemes; Analyze security measures to identify unnecessary hurdles
relocation to our Barcelona office
What They're Looking For.
Must Have
3 and 7 years of professional experience, specifically within the risk, payments, or credit sectors, highly skilled in SQL, highly skilled in Python for data analysis and strategy development, solid understanding of payment fraud dynamics, experience working with real-time decisioning environments, excellent communication skills, fluent in English
Nice to Have
Experience with Machine Learning, Data Science, PySpark, GraphQL knowledge
What You'll Do.
Architect Real-Time Strategies
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
How You'll Work.
Team & Collaboration
Partner with Product and Engineering; Work with Data Science; collaboration
Communication Scope
excellent communication skills; fluent in English
Full Job Description
Please note that this opportunity requires relocation to our Barcelona office. About us Satispay began by rethinking the simple act of a payment to remove the friction from our daily routines. But we didn't stop there. Today, we are building a complete financial platform designed to empower people and concretely improve their lives. By giving our 6 million users a clear, open path to pay, save, and invest, we are evolving into the definitive destination for every financial need. What you'll be doing As our Fraud Data Analyst, you'll be the person who secures the future of digital payments by architecting sophisticated real-time defense strategies. Here's what your day-to-day will look like: - 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. Expect challenges, collaboration, and the freedom to bring your ideas to life in a fast-moving and supportive environment. T
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