At Remitly, we believe everyone deserves the freedom to access, move, and manage their money wherever life takes them. Since 2011, we’ve delivered on our promise to customers sending money globally, providing secure, simple, and reliable ways to manage their money and ensuring true peace of mind.
About the Role
The Data Analytics Manager, Fraud will be part of Remitly’s Identity & Trust Analytics Team, reporting to the Senior Manager, Fraud Program and Analytics. You will lead and develop a team of analysts while remaining hands‑on in the data yourself. You will apply data science and analytics techniques to drive rapid, rational decision‑making across Remitly’s Transaction Integrity program – spanning Fraud, Scams, and Promo Abuse.
You Will
- Lead and develop a team of analysts—providing mentorship, technical guidance, thoughtful feedback, and career development support.
- Become an expert on Remitly’s Payments Fraud data, customer experience, and policy.
- Build a unified understanding of how our data, customer experiences, and Transaction Integrity goals align across products and geographies.
- Own and evolve the metrics used to evaluate fraud system performance, operational effectiveness, and customer friction.
- Formulate hypotheses, design and evaluate product experiments, and translate analytical findings into clear, actionable recommendations for cross‑functional stakeholders.
- Partner with program and product managers to generate insights and help define and execute longer‑term fraud prevention strategies and roadmaps.
- Serve as a technical resource for your team, such as supporting SQL‑heavy analyses, data quality investigations, or complex modeling when needed.
- Leverage AI tools and agentic workflows to accelerate your team’s analytical output—actively exploring how emerging AI capabilities can improve the speed, quality, and scale of fraud analytics.
- Prioritize and manage the team’s analytical roadmap, balancing reactive requests with longer‑term strategic work.
You Have
- 5+ years of experience in a data analyst role or similar full‑time professional experience, with at least 2–3 years of people‑management experience.
- Experience in fraud, risk, trust & safety, fintech, or adversarial analytics strongly preferred.
- Bachelor’s degree in mathematics, engineering, economics, or another quantitative field (or equivalent additional experience).
- Strong SQL proficiency; working knowledge of Python or R for data analysis.
- Expertise with statistical concepts (e.g., A/B testing, probability theory, forecasting) and how they apply in real‑world fraud or risk contexts.
- Experience distilling business problems from stakeholder discussions, developing hypotheses, building an analytical framework, carrying out analyses, and writing clear recommendations.
- Strong data storytelling skills, including data visualization, technical writing, and the ability to communicate complex findings to non‑technical audiences.
- Proven ability to coach and develop analysts, elevate team output through technical guidance, and navigate ambiguous problem spaces.
- Demonstrated experience using AI tools (e.g., LLM‑assisted analysis, agentic workflows, or AI‑powered tooling) to enhance analytical productivity and quality.
Compensation Details
The starting base salary range for this position is $120,000 – $150,000. In Canada, Remitly employees are shareholders in our Company and equity is part of our total compensation plan. Medical benefits, financial benefits, and total compensation components are available upon request from recruiters.
Our Benefits
- Four weeks vacation
- Health Benefits
- Mental Health & Family Forming Benefits
- RRSP plan with company match
- Employee Stock Purchase Plan (ESPP)
- Life Insurance & Disability
- Continuing education and travel benefits
Our Connected Work Culture
At Remitly, we believe that true innovation sparks when we come together. Our Connected Work Culture fosters dynamic in‑person collaboration, where ideas ignite and challenging problems find solutions faster. For corporate team members, we have an in‑office expectation of at least 50% of the time monthly, typically achieved by coming in three days a week. This creates a consistent, meaningful overlap that supports team norms and business needs. Managers also have the flexibility to set higher expectations based on their team’s specific needs.
Equal Employment Opportunity
Remitly is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Remitly is an E‑Verify Employer and is dedicated to ensuring that our workplace offers equal employment opportunities in full compliance with applicable laws and regulations.
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