Fraud Data Analyst - Luxembourg

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7cxdjz

ph3Relocation /h3 pWe are looking for a Fraud Data Analyst to work out?of?office in Luxembourg.
This opportunity requires relocation to our Luxembourg office.
/p h3About Us /h3 pSatispay 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.
/p h3What You'll Be Doing /h3 pAs our Fraud Data Analyst, you will secure the future of digital payments by architecting sophisticated real?time defence strategies.
/p h3Responsibilities /h3 ul liArchitect 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.
/li liPrecision rule development – translate complex fraud patterns into high?performing rules, optimising the balance between False Positive Rates and Gross Fraud Loss.
/li liDeconstruct payment fraud – proactively hunt for emerging schemes and turn these insights into end?to?end mitigation strategies.
/li liOptimize the decisioning stack – partner with Product and Engineering to define analytical requirements for new features and third?party data signals.
/li liCalibrate ML?and?heuristics – work with Data Science to operationalise machine learning models, determining how to best wrap model scores with heuristic rules.
/li liChampion frictionless UX – analyse security measures to identify unnecessary hurdles and design dynamic friction strategies for a seamless user experience.
/li liStrategic performance reporting – monitor rule efficacy and portfolio health,



presenting data?driven recommendations to senior leadership to evolve risk appetite.
/li /ul h3Qualifications /h3 ul liExperience – 3 to 7 years in risk, payments or credit sectors.
/li liTechnical proficiency – highly skilled in SQL and Python for data analysis and strategy development.
/li liDomain expertise – solid understanding of payment fraud dynamics and experience in real?time decisioning environments.
/li liCommunication – excellent communication skills, fluent in English.
/li liNice to have – experience with Machine Learning, Data Science, PySpark or GraphQL knowledge is a significant plus.
/li /ul h3Benefits /h3 ul liHealth – private insurance for you and your family, psychological support, mental health workshops.
/li liFinancial resources – Stock Option Plan, meal vouchers, relocation support if you move countries.
/li liGrowth and development – professional development programmes, internal mobility, language courses.
/li liFlexibility – unlimited PTO, hybrid working policy, flexible working hours.
/li liFamily – enhanced parental leave, additional leave for child sickness.
/li liWork?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.
/li /ul h3Equal Opportunity /h3 pAt 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.
/p /p #J-*****-Ljbffr

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7cxdjz