Senior Data Analyst – Fraud Prevention

Preply

Senior Data Analyst focusing on fraud prevention at Preply, leveraging analytics to enhance the product's safety and efficiency. Collaborating across teams to improve metrics and detection systems.

Posted 6/15/2026full-timeKyiv • 🇺🇦 UkraineSeniorWebsite

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Work with outputs from ML models to maintain and improve fraud prevention decision, 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

What you’ll need

4+ years of experience in fraud analytics, risk analysis, or a closely related payments/trust & safety domain.
Strong SQL and Python proficiency being 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

Benefits

Comp & perks

A generous monthly allowance for lessons on Preply.com
Learning & Development budget
Time off for your self-development
A competitive financial package with equity, leave allowance, and health insurance
Access to free mental health support platforms

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

SQLPythonfraud analyticsrisk analysisstatistical techniquesdashboard designalerting systemsanalytical queriesmonitoring logicdata governance

Soft Skills

analytical communicationcritical thinkingcollaborationmentoringproblem-solvingnarrative developmentcross-functional teamworkadaptabilitydecision-makingleadership