Remitly
Manager, Data Analytics
Burnaby, British Columbia, Canada · Full-time
Sponsorship not specified$120k-$150kDetected 28 days ago
PythonSQLData AnalysisData ScienceData VisualizationLLMsA/B TestingForecastingLeadershipCollaborationMentoringWriting
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.
- Serve as a technical resource for your team, such as supporting SQL-heavy analyses, data quality investigations, or complex modeling when needed.
Responsibilities
- 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.
- Lead and develop a team of analysts - providing mentorship, technical guidance, thoughtful feedback, and career development support to help your team grow and do their best work.
- 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.
- Prioritize and manage the team's analytical roadmap, balancing reactive requests with longer-term strategic work.
- This creates a consistent, meaningful overlap that supports team norms and business needs.
Requirements
- 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.
- 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.
- Strong data storytelling skills, including data visualization, technical writing, and the ability to communicate complex findings to non-technical audiences.
Nice to have
- Experience in fraud, risk, trust & safety, fintech, or adversarial analytics strongly preferred.
Skills
- Become an expert on Remitly's Payments Fraud (Scams, Chargebacks, Promo Abuse) data, customer experience, and policy.
Compensation
- The starting base salary range for this position is $120,000 - $150,000.
- Your recruiter can share more information about medical benefits offered, as well as other financial benefits and total compensation components offered with this role.
Benefits
- Four weeks vacation
- Health Benefits
- Mental Health & Family Forming Benefits
- Employee Stock Purchase Plan (ESPP)
- Life Insurance & Disability
- Continuing education and travel benefits
Company info
- Driving Innovation, Together
- 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.
- Managers also have the flexibility to set higher expectations based on their team's specific needs.
- These intentional in-office moments are vital for deepening relationships, fueling creativity, and ensuring your impact is felt where it matters most.
- Remitly is an E-Verify Employer
- At Remitly, we are dedicated to ensuring that our workplace offers equal employment opportunities to all employees and candidates, in full compliance with applicable laws and regulations.
- Remitly is an equal opportunity employer.
- We celebrate diversity and are committed to creating an inclusive environment for all employees.
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This listing is sourced directly from Remitly's careers page and normalized into a canonical job model.