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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
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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