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Preply

Online language-learning marketplace connecting live tutors

Fraud Operations Manager

Risk ManagementConfirmed live in the last 24 hours
Full-timeKyiv, UkraineHybrid

About the Job

Requirements

  • 6–8+ years of experience in fraud operations, payments risk, or financial crime, with demonstrated people management experience.
  • A track record leading fraud or risk operations in a marketplace, fintech, or e-commerce environment.
  • Expertise in fraud investigation methodology, chargeback management, and fraud detection workflows.
  • Experience owning operational key performance indicators and translating data into decisions and priorities.
  • Ability to build teams, develop talent, and create cultures of rigour and ownership.
  • Ability to translate operational observations into clear requirements for Product and Data, working comfortably with product managers and data leads as peers.
  • Data fluency to combine operational observations with data, identify gaps between ground-level reality and what detection captures, and surface actionable trends.
  • Skill in designing scalable processes and governance frameworks.
  • Understanding of how artificial intelligence and machine learning models are applied in fraud detection, including interpreting model outputs, evaluating signal quality, and partnering with technical teams to improve detection.

Responsibilities

  • Lead, manage, and develop a team of Fraud Specialists by setting clear expectations, coaching performance, and building a high-judgement, high-accountability team culture.
  • Own the Fraud Operations roadmap, define priorities, and align the function’s objectives with broader business goals.
  • Design and formalise investigation standards, workflows, escalation protocols, and documentation frameworks across the team.
  • Define, track, and continuously improve Fraud Operations key performance indicators, including chargeback rate, dispute resolution service-level agreements, false positive rate, and financial exposure metrics.
  • Establish a governance cadence for risk reviews, exposure reviews, and threshold calibration with Finance and senior leadership.
  • Translate day-to-day observations from Specialists, including fraud patterns, tooling gaps, and detection blind spots, into structured requirements that shape the detection roadmap.
  • Cross-reference operational observations with data to identify gaps between ground-level activity and what detection models capture, and bring actionable trends to Product and Data leads.
  • Partner with Product, Payments, and Finance as the primary fraud authority, influence priorities, and ensure fraud risk is embedded in key decisions.
  • Own workforce planning and capacity management to ensure operational resilience.
  • Present fraud performance, risk insights, and strategic recommendations to senior leadership.
  • Drive continuous process improvement through root cause analysis, policy adherence, and tooling evolution.

Desired Qualifications

  • Familiarity with machine-learning-based fraud detection and feedback-loop workflows.
  • SQL or business intelligence fluency, such as Looker or Tableau.
  • Experience in a multi-currency, cross-border marketplace environment.
  • Certified Fraud Examiner or Certified Anti-Money Laundering Specialist credential.
  • Experience with fraud detection platforms such as Sardine, Sift, Feedzai, or Kount.

About the Company

Preply

Online language-learning marketplace connecting live tutors

Preply is an online language-learning marketplace that connects learners with live tutors for 90+ languages across 180 countries. Through the platform, students can choose a language, browse tutors, schedule lessons, and receive video-based instruction from tutors around the world. Lessons are supported by an AI co-pilot toolkit that helps with practice, personalization, and learning data to aid the tutoring process. What sets Preply apart is its large, global network of more than 100,000 tutors, a broad language catalog, and a focus on combining human teaching with AI-assisted tools, backed by strong funding and profitability signals (it became EBITDA-positive) and a recent €127 million Series D to expand AI/data capabilities, product and engineering hiring, and global growth. The company’s goal is to make language learning accessible and effective for learners anywhere by scaling high-quality tutoring worldwide and enhancing it with AI-driven tools.

Company size
10,001+
Company stage
Series D
Total funding
$321.9M
Headquarters
Brookline, MA
Founded
2012

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