We're looking for a Product Data Analyst with fraud expertise to serve as fraud gatekeeper, helping us stay one step ahead of fraudulent claims.
You'll partner closely with our Analytics and other Data Teams, Special Investigation Unit, and Underwriting teams to flag and prevent potential risks that could impact our business. This role is about shaping fraud detection strategies by leveraging data to solve complex product and business problems – tackling analytical questions, monitoring key metrics, modeling intricate datasets, and delivering actionable insights that directly influence our strategy.
In this role youll:
Shape fraud detection strategies by analyzing claim patterns, testing new prevention methods, and building data-driven recommendations that protect the business
Partner closely with cross-functional teams including Special Investigation Unit, Underwriting, Analytics, Product, and Data teams to flag risks and improve decision-making
Design and execute A/B tests on key flows and processes to strengthen fraud defenses and optimize detection capabilities
Monitor and analyze key metrics through fraud trend detection, feature tracking, experiments, and platform health monitoring to stay ahead of emerging threats
Model complex datasets using Snowflake, Python, and other tools to uncover hidden fraud patterns and business risks
Deliver actionable insights by presenting findings and recommendations to stakeholders across the company to drive product and business decisions
Explore new data opportunities by leveraging internal and external data sources to improve fraud mitigation and push product strategy forward
You'll partner closely with our Analytics and other Data Teams, Special Investigation Unit, and Underwriting teams to flag and prevent potential risks that could impact our business. This role is about shaping fraud detection strategies by leveraging data to solve complex product and business problems – tackling analytical questions, monitoring key metrics, modeling intricate datasets, and delivering actionable insights that directly influence our strategy.
In this role youll:
Shape fraud detection strategies by analyzing claim patterns, testing new prevention methods, and building data-driven recommendations that protect the business
Partner closely with cross-functional teams including Special Investigation Unit, Underwriting, Analytics, Product, and Data teams to flag risks and improve decision-making
Design and execute A/B tests on key flows and processes to strengthen fraud defenses and optimize detection capabilities
Monitor and analyze key metrics through fraud trend detection, feature tracking, experiments, and platform health monitoring to stay ahead of emerging threats
Model complex datasets using Snowflake, Python, and other tools to uncover hidden fraud patterns and business risks
Deliver actionable insights by presenting findings and recommendations to stakeholders across the company to drive product and business decisions
Explore new data opportunities by leveraging internal and external data sources to improve fraud mitigation and push product strategy forward
Requirements:
Adaptability, drive, and an efficiency mindset – we believe these matter most in human-AI collaboration
3+ years of data/product analysis experience in a fast-growing consumer company, with specific background in fraud detection and prevention
Strong technical foundation with SQL expertise and experience using BI tools like Looker, Tableau, or Mixpanel
A/B testing expertise and comfort working with large datasets to drive data-driven decision making
Cross-functional collaboration skills – you'll work closely with product managers, data engineering, and data science teams
Clear communication abilities in English, with experience presenting technical information to diverse stakeholders
Educational degree in Industrial Engineering, Mathematics, Statistics, or equivalent experience
Ability to work in an office environment a minimum of 3 days a week
Enthusiasm about learning and adapting to the exciting world of AI – a commitment to exploring this field is a fundamental part of our culture
Adaptability, drive, and an efficiency mindset – we believe these matter most in human-AI collaboration
3+ years of data/product analysis experience in a fast-growing consumer company, with specific background in fraud detection and prevention
Strong technical foundation with SQL expertise and experience using BI tools like Looker, Tableau, or Mixpanel
A/B testing expertise and comfort working with large datasets to drive data-driven decision making
Cross-functional collaboration skills – you'll work closely with product managers, data engineering, and data science teams
Clear communication abilities in English, with experience presenting technical information to diverse stakeholders
Educational degree in Industrial Engineering, Mathematics, Statistics, or equivalent experience
Ability to work in an office environment a minimum of 3 days a week
Enthusiasm about learning and adapting to the exciting world of AI – a commitment to exploring this field is a fundamental part of our culture
This position is open to all candidates.
