Senior Data Analyst - Fraud Prevention

Stack

Responsibilities

• ▹Work with outputs from ML models to maintain and improve fraud prevention decisions, balancing detection coverage against false positive rates
• ▹Own the fraud rule lifecycle — designing, testing, and maintaining prevention rules, with a clear view of coverage, false positive trade-offs, and when to retire what's no longer working
• ▹Partner with Fraud Operations to understand emerging abuse patterns and translate operational observations into analytical improvements
• ▹Design and maintain alerting systems that identify threats early, giving the team time to respond before incidents escalate
• ▹Forecast fraud losses and chargeback volumes, giving Finance and Risk leadership earlier visibility into projected exposure
• ▹Define and own the north star metrics and KPIs for fraud prevention, ensuring reporting is clear, owned, and actionable at the executive level
• ▹Act as the data bridge between Product and the Applied AI team, providing performance feedback that informs model updates and roadmap prioritisation
• ▹Support the evaluation of third-party fraud prevention providers, bringing data-driven criteria to vendor assessments
• ▹Collaborate with Data and Analytics Engineering to ensure fraud-related data is tracked, governed, and handled in line with PII requirements

Requirements

• ▹4+ years of experience in fraud analytics, risk analysis, or a closely related payments/trust & safety domain
• ▹Strong SQL and Python proficiency — comfortable writing analytical queries across large transactional datasets, building monitoring logic, and applying statistical techniques to fraud and risk problems
• ▹Experience designing and maintaining dashboards or alerting systems with clear signal-to-noise discipline
• ▹Strong analytical communication: able to turn ambiguous fraud signals into crisp, actionable narratives for operational and executive audiences
• ▹Experience collaborating with cross-functional teams including Operations, Engineering, and Product
• ▹Ability to leverage AI tools and agents as a force multiplier for analysis, while maintaining the critical thinking to interrogate outputs, spot gaps, and own the conclusions
• ▹Experience mentoring junior and mid-level analysts, helping them grow their technical skills, develop analytical judgement, and raise the quality of the team's output

Nice to have

• ▹Prior experience working in a marketplace or two-sided platform
• ▹Experience with payment processing concepts — chargebacks, dispute flows, authorisation rates, PSP dynamics
• ▹Exposure to compliance or regulatory frameworks (PSD2/3, AML, KYC)

Soft skills

What we offer

• ▹An open, collaborative, dynamic, and diverse culture
• ▹A generous monthly allowance for lessons on Preply.com, Learning & Development budget, and time off for self-development
• ▹A competitive financial package with equity, leave allowance, and health insurance
• ▹Access to free mental health support platforms
• ▹The opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting!)

About the company

Preply is an EdTech company connecting learners with tutors — over 100,000 tutors teaching 90+ languages to learners in 180 countries. The company recently reached unicorn status after a $150M Series D funding round. The Data Team is dedicated to empowering top-quality decision-making; this fraud prevention role sits at the intersection of analytics, Fraud Operations, and the Applied AI team.