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Manager, Data Analytics (Fraud)

120 000 - 150 000CAD
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Manager, Data Analytics (Fraud) (SQL/Python/R): Leading fraud analytics for Remitly’s Transaction Integrity program across fraud, scams, and promo abuse with an accent on statistical analysis, experimentation, and actionable data storytelling. Focus on developing analysts, evolving fraud performance metrics, designing product experiments, and leveraging AI-powered analytical workflows.

Location: Burnaby, British Columbia, Canada; hybrid work with onsite attendance Tuesday through Thursday each week

Salary: CAD 120,000–150,000 annually, plus equity and additional compensation components.

Company

hirify.global provides secure financial services that help customers send, access, and manage money across borders.

What you will do

  • Lead, mentor, and develop a team of data analysts while providing technical guidance and feedback.
  • Analyze payments fraud data across scams, chargebacks, and promo abuse.
  • Own and evolve metrics for fraud-system performance, operational effectiveness, and customer friction.
  • Formulate hypotheses, design and evaluate product experiments, and turn findings into actionable recommendations.
  • Partner with program managers, product managers, engineers, and operations on fraud-prevention strategies and roadmaps.
  • Use AI tools and agentic workflows to improve the speed, quality, and scale of fraud analytics.

Requirements

  • 5+ years of experience in data analysis or a similar full-time professional role.
  • 2–3 years of people management experience, including coaching and developing analysts.
  • Strong SQL skills and working knowledge of Python or R for data analysis.
  • Knowledge of statistical concepts such as A/B testing, probability theory, and forecasting.
  • Experience developing analytical frameworks, conducting analyses, and communicating recommendations to non-technical audiences.
  • Experience using AI tools, LLM-assisted analysis, agentic workflows, or AI-powered tooling.

Nice to have

  • Experience in fraud, risk, trust and safety, fintech, or adversarial analytics.
  • Bachelor’s degree in mathematics, engineering, economics, or another quantitative field.

Culture & Benefits

  • Four weeks of vacation.
  • Health, mental health, and family-forming benefits.
  • RRSP plan with company match.
  • Employee Stock Purchase Plan, life insurance, and disability coverage.
  • Continuing education and travel benefits.
  • Connected Work Culture with regular in-person collaboration and additional onsite attendance when business needs require it.

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