Fraud Data Analyst - Luxembourg

About the role

You will own the design and execution of real-time fraud defense strategies that protect the integrity of digital payments at scale. You will architect sophisticated detection logic that operates within milliseconds, directly influencing the security posture of a rapidly growing financial platform. This role requires you to balance precision and performance, ensuring that risk controls are both effective and aligned with user expectations. You will translate evolving fraud tactics into actionable rules and models that safeguard the ecosystem without compromising experience. Collaboration will be central as you work alongside data scientists, product managers, and engineers to refine the risk framework. You will be expected to challenge assumptions, iterate quickly, and take visible ownership of critical decisions. Ultimately, your work will define the reliability and trustworthiness of payments for millions of users across the network.

Key facts

What you'll do

• Architect Real-Time Strategies by designing and deploying logic that combines machine learning scores with velocity features to enable millisecond-level decisions.
• Develop Precision Rules that translate complex fraud patterns into high-performing conditions, optimizing the balance between false positive rates and gross fraud loss.
• Deconstruct Payment Fraud through proactive hunting for emerging schemes such as account takeover and social engineering, converting findings into end-to-end mitigation strategies.
• Optimize the Decisioning Stack by partnering with product and engineering teams to define analytical requirements for new features and third-party data signals.
• Calibrate ML & Heuristics in collaboration with data science, determining how to best wrap model scores with rule-based logic to strengthen detection.
• Champion Frictionless UX by analyzing security measures to identify unnecessary hurdles and designing dynamic friction strategies that preserve seamless user experience.
• Deliver Strategic Performance Reporting by monitoring rule efficacy and portfolio health, presenting data-driven recommendations to senior leadership to evolve the organization's risk appetite.
• Drive Continuous Improvement by establishing feedback loops between detection outcomes and product changes, ensuring that rules and models adapt to new behaviors.
• Act as a Subject Matter Expert by mentoring peers on fraud patterns, detection techniques, and best practices across the analytics and risk domains.
• Maintain Documentation that clearly outlines decision logic, coverage scenarios, and rationales to ensure transparency and operational continuity.
• Support Incident Response by leading investigations into suspicious activity, defining containment actions, and contributing to post-mortem analyses.
• Collaborate cross-functionally with compliance, legal, and operations to align fraud strategies with regulatory expectations and business objectives.
• Explore Advanced Detection Techniques by researching novel data sources and analytical methods to enhance the capability of the fraud stack.
• Ensure Scalability of detection frameworks so they perform reliably under high transaction volumes and evolving complexity.

Requirements

• You possess between 3 and 7 years of professional experience, specifically within risk, payments, or credit sectors, providing a strong foundation in fraud detection.
• You demonstrate high technical proficiency in SQL and Python for data analysis, transformation, and strategy development.
• You have a solid understanding of payment fraud dynamics, including common attack vectors and mitigation approaches in real-time environments.
• You communicate effectively in English, with excellent written and verbal skills to convey complex concepts to both technical and non-technical stakeholders.
• You are comfortable working in fast-paced environments where priorities shift quickly and ambiguity is part of the daily routine.
• You exhibit strong problem-solving abilities, showing initiative to investigate issues, propose solutions, and drive them to completion.
• You collaborate well within cross-functional teams, valuing diverse perspectives and contributing to a culture of shared learning.
• You maintain attention to detail, ensuring that rules and models are accurate, consistent, and aligned with intended outcomes.
• You are legally authorized to work in the country where the position is located and comply with all employment eligibility requirements.

Nice to have

• Experience with Machine Learning, Data Science, PySpark, or GraphQL knowledge is a significant plus, enhancing your ability to contribute across the fraud lifecycle.

Practical notes

• Please note that this opportunity requires relocation to our Luxembourg office.
• We embrace three days per week in-office (Tuesday and Thursday + 1 of your choice), with the option to request extra remote time.

Equal opportunity employer

• At Satispay, we're proud to be an equal opportunity employer. We celebrate diversity and inclusion, welcoming individuals of all backgrounds. This opportunity is open to everyone, regardless - for instance - of race, colour, religion, sex, gender identity, sexual orientation, and national origin. Join us in a workplace where everyone belongs!

Learn more about us

• Our values and pillars aren't just fancy words on a page - they really shape everything we do. Explore them here https://www.satispay.com/en-it/work-at-Satispay/.