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Remitly

Data Analyst, Fraud

Sorry, this job was removed at 06:12 p.m. (GMT) on Friday, Mar 21, 2025
In-Office
London, Greater London, England
In-Office
London, Greater London, England

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Job Description:

About the Role:

As a Data Analyst, Fraud you will be part of Remitly's Identity & Trust Analytics Team and will report to one of our Director's of Analytics. You will apply data science and analytics techniques to drive rapid, rational decision-making for Remitly's EU & International business. You will understand internal fraud systems, understand regional differences/priorities and customise solutions for various regions. You'll be tightly integrated with Remitly's Business Management Function and collaborate on regional solutions. You will relentlessly improve the experience for good customers by partnering with program and product managers, engineers, analysts, and designers. This is a hybrid role that requires 2-3 days a week in the London office.

You Will:

  • Become an expert on Remitly's Payments Fraud (Scams, Chargebacks, Promo Abuse) data, experience, policy, and regulatory requirements
  • Build a unified understanding of how our data, customer experiences, and goals align
  • Create metrics to balance risk vs. reward, performance of systems and operational effectiveness
  • Collaborate with Business Management to continuously improve customer experience and deliver on business goals
  • Design experiments, read A/B tests, and perform ad hoc analyses
  • Formulate hypotheses, design and evaluate product experiments
  • Generate insights and help define & execute longer term product strategies and roadmaps across multiple product teams

You Have:

  • 2+ yrs in an analyst role or similar professional experience in risk, fraud, fintech, operations, marketing
  • Experience in any type of adversarial analysis such as risk, fraud, trust & safety is preferred
  • Bachelor's degree in mathematics, engineering, economics, or another quantitative field (or equivalent additional experience)
  • 2+ yrs of experience using SQL for analysis (Python, R, statistical analysis, and modelling a bonus)
  • Foundational statistical knowledge
  • Experience distilling business problems from discussions, developing hypotheses, building an analytical framework, carrying out an analysis, and writing a clear recommendation
  • Strong data communication skills, including data visualisation, technical writing, and business writing
  • Experience finding creative solutions within the constraints of complex systems and policies

#LI-Hybrid

Remitly is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Remitly London, England Office

London, United Kingdom

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