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Fraud Lead

Remote / Online - Candidates ideally in
Toronto, Ontario, C6A, Canada
Listing for: Gofractional
Full Time, Remote/Work from Home position
Listed on 2026-07-24
Job specializations:
  • IT/Tech
    Cybersecurity
  • Finance & Banking
Salary/Wage Range or Industry Benchmark: 90000 - 120000 CAD Yearly CAD 90000.00 120000.00 YEAR
Job Description & How to Apply Below

Fraud Lead (12-month contract)

Location: Toronto, Canada
Employment Type: Full time
Reports to: Senior Manager Service Management & Security

The Role

Rakuten Kobo Inc. is looking for a Fraud Lead (12 month contract) to join our Risk Management team! This role will play a vital part in protecting Rakuten Kobo Inc's e-commerce platform from fraudulent activities. The Fraud Lead will oversee the management of payment gateway fraud detection engines, provide in-depth trend data analysis, and establish best practice KPI's for the overall monitoring and reduction in fraud.

The Person

This person will need a keen sense of attention to detail, have great interpersonal skills, adapt, learn quickly, and be able to work under tight deadlines. An eagerness to improve and drive results is expected.

Key Responsibilities
  • Perform daily monitoring of payment gateway fraud detection engines
  • Optimization of core fraud detection rulesets:
    Create custom rules based on new trends and attack vectors, reduce false positives and feedback into Customer Care retention initiatives, establish best practice KPI's to measure and report on activity
  • Establish a holistic fraud strategy that identifies platform gaps or weaknesses in:
    Account creation, chargeback dispute resolution, payment method vaulting, PSD2 / 3DS, Storefront check-out
  • RFP / industry landscape review of fraud detection engine opportunities
  • Collaborate with external and internal stakeholders
Qualifications
  • 5+ years of Fraud Analyst experience in e-commerce or similar fields
  • Proficiency in creating and managing fraud engine rules
  • Strong background in payment gateways and transactional data flows
  • Proven experience in fraud detection and prevention
  • Strong analytical skills with the ability to identify fraud trends and patterns
  • Familiarity with common fraud schemes; friendly fraud, account takeovers, chargebacks, etc.
  • Experience with Python, SQL, or other languages used for automation or data extraction
  • Excellent communication and collaboration abilities
The Perks
  • Flexible hours and hybrid remote working environment
  • Four extended long weekends in the summer
  • Weekly Kobo Spark sessions
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