Fraud Data Analyst - Luxembourg

Satispay; Turbigo; Híbrido; EUR 50.000 - 70.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Private insurance for you and your family

Stock Option Plan

Unlimited PTO

Flexible working hours

Mental health workshops

Descripción de la vacante

Satispay is looking for a Fraud Data Analyst to enhance digital payments through effective real-time decisioning strategies. In this role, you’ll architect and optimize decision-making processes to combat payment fraud, utilizing your skills in SQL and Python. The ideal candidate has 3-7 years of experience in risk or payments and is fluent in English. This position includes benefits like private health insurance, meal vouchers, and unlimited PTO with a hybrid working model.

Formación

• 3 to 7 years in risk, payments, or credit sectors.
• Highly skilled in SQL and Python for data analysis.
• Solid understanding of payment fraud dynamics.
• Excellent communication skills, fluent in English.

Responsabilidades

• Architect real-time decisioning strategies.
• Translate complex fraud patterns into high-performing rules.
• Proactively hunt for emerging schemes.
• Optimize the decisioning stack.
• Calibrate ML and heuristics around decision making.
• Analyze security measures to design user experiences.
• Monitor rule efficacy and present recommendations.

Conocimientos

SQL

Python

Communication

Machine Learning

Data Science

PySpark

GraphQL

Descripción del empleo

Relocation

We are looking for a Fraud Data Analyst to work out‑of‑office in Luxembourg. This opportunity requires relocation to our Luxembourg office.

About Us

Satispay is a complete financial platform that removes friction from everyday payments. With more than 6 million users, we help people pay, save and invest in a single, seamless experience.

What You'll Be Doing

As our Fraud Data Analyst, you will secure the future of digital payments by architecting sophisticated real‑time defence strategies.

Responsibilities

• Architect real‑time decisioning strategies – responsible for the 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, optimising the balance between False Positive Rates and Gross Fraud Loss.
• Deconstruct payment fraud – proactively hunt for emerging schemes 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‑and‑heuristics – work with Data Science to operationalise machine learning models, determining how to best wrap model scores with heuristic rules.
• Champion frictionless UX – analyse security measures to identify unnecessary hurdles and design 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 risk appetite.

Qualifications

• Experience – 3 to 7 years in risk, payments or credit sectors.
• Technical proficiency – highly skilled in SQL and Python for data analysis and strategy development.
• Domain expertise – solid understanding of payment fraud dynamics and experience in real‑time decisioning environments.
• Communication – excellent communication skills, fluent in English.
• Nice to have – experience with Machine Learning, Data Science, PySpark or GraphQL knowledge is a significant plus.

Benefits

• Health – private insurance for you and your family, psychological support, mental health workshops.
• Financial resources – Stock Option Plan, meal vouchers, relocation support if you move countries.
• Growth and development – professional development programmes, internal mobility, language courses.
• Flexibility – unlimited PTO, hybrid working policy, flexible working hours.
• Family – enhanced parental leave, additional leave for child sickness.
• Work‑life balance – we embrace three days per week in‑office (Tuesday and Thursday + one of your choice), with the option to request extra remote time.

Equal Opportunity

At Satispay, we are proud to be an equal‑opportunity employer. We celebrate diversity and inclusion and welcome individuals of all backgrounds. This opportunity is open to everyone regardless of race, colour, religion, sex, gender identity, sexual orientation, or national origin.