Senior Risk Data Analyst

Summary

Join a leading fraud prevention and AML compliance company as a data-driven professional to measure, understand, and improve the performance of risk strategies. Analyze complex datasets, design metrics, build dashboards, and collaborate with stakeholders to drive decision-making and optimize outcomes. Develop and track metrics for risk products and strategies, conduct in-depth analyses for fraud reduction, and translate data insights into actionable recommendations for clients. Build and experiment with ML models to enhance fraud detection, work with engineers on data instrumentation, and create self-serve dashboards. Collaborate with cross-functional teams to translate business requirements into data-driven solutions and implement risk mitigation strategies. This role requires a strong technical background with 7+ years of experience in a data-focused role, experience in the Fraud/Risk domain, and proficiency in SQL, Python, and BI tools.

Requirements

• Strong technical background with 7+ years of experience demonstrating high impact in a data-focused role such as product analytics, business analytics, or data science
• Prior experience in the Fraud/Risk domain
• Hands-on experience in SQL and Python
• Expertise in BI tools such as Tableau/Sigma/Metabase
• Exposure to building ML models to address business challenges
• Ability to structure and analyze data, leveraging techniques like EDA and cohort analysis, transform them into understandable and actionable recommendations, and then communicate them effectively across the organization and clients
• Proficiency in defining, utilizing, and communicating performance metrics
• Creative problem-solving, strong critical thinking, and a getting-things-done approach

Responsibilities

• Develop and track metrics to measure and monitor the performance of our risk products and the effectiveness of risk management strategies
• Conduct in-depth analyses to uncover valuable insights contributing to fraud reduction and higher approval rates for our clients
• Serve as a client-facing partner by translating complex data insights into clear, actionable recommendations
• Build and experiment with ML models to identify fraudulent patterns and enhance fraud detection capabilities
• Work with engineers on data instrumentation
• Create and automate self-serve dashboards leveraging BI tools
• Collaborate with cross-functional teams (Business, Product, and Engineering) to understand and translate business requirements into actionable data-driven solutions
• Collaborate on implementing risk mitigation solutions, ensuring alignment with business goals

Benefits

• Generous compensation in cash and equity
• Early exercise for all options, including pre-vested
• Work from anywhere: Remote-first Culture
• Flexible paid time off, Year-end break, Self care days off
• Health insurance, dental, and vision coverage for employees and dependents - US and Canada specific
• 4% matching in 401k / RRSP - US and Canada specific
• MacBook Pro delivered to your door
• One-time stipend to set up a home office — desk, chair, screen, etc
• Monthly meal stipend
• Monthly social meet-up stipend
• Annual health and wellness stipend
• Annual Learning stipend
• Unlimited access to an expert financial advisory