Product Analyst, Fraud

About the position

Remitly’s vision is to transform lives with trusted financial services that transcend borders. Since 2011, we have been tirelessly delivering on our promises to people who send money around the world. Today, we are reimagining global financial services and building products that extend beyond traditional barriers to give customers access to more of the services they need, no matter where they call home. Join over 2,700 employees worldwide who are growing their careers with purpose and connection with our customers while having a positive impact on millions of people around the globe. The Data Analyst, Fraud (Lending) will be part of Remitly's Identity & Trust Analytics Team. In this role, you will apply data science and analytics techniques to drive rapid, rational decision-making for Remitly's Lending product. You will understand internal fraud systems and customize solutions for Lending. You'll contribute to Lending product development while streamlining 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 onsite per week at our Seattle, WA headquarters. This role will report to the the Director of Analytics.

Responsibilities

• Become an expert on Remitly's Lending / Fraud 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 Lending Product and Business Leaders Compliance to launch new product experiences and continuously improve customer experience
• 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

Requirements

• 2+ yrs in an analyst role or similar full-time, professional experience in risk, fraud, fintech, operations
• 2+ yrs of experience using SQL for analysis (Python, R, statistical analysis, and modeling a bonus)
• Must have experience in any type of adversarial analysis such as risk, fraud, trust & safety
• 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 visualization, technical writing, and business writing
• Experience finding creative solutions within the constraints of complex systems and policies
• Foundational statistical knowledge
• Bachelor's degree in mathematics, engineering, economics, or another quantitative field (or equivalent additional experience)

Benefits

• Flexible paid time off
• Health, dental, and vision + 401k plan with company matching
• Paid parental, medical, military and family care leave
• Mental Health & Family Forming Benefits
• Employee Stock Purchase Plan (ESPP)
• Continuing education and travel benefits