Analyst II, Fraud Analytics

Summary

Join Affirm's Fraud Strategy & Analytics team as an Analyst II, Fraud Analytics to enhance the Trust and Safety online decisioning strategy and user journeys. You will leverage data analysis and business intuition to identify optimization opportunities and influence product strategy. Responsibilities include proactively exploring data to improve products, translating analysis into recommendations for business logic, developing scalable frameworks for fraud models, and evaluating innovative data sources. You will own end-to-end analytics workflows, partner with Machine Learning and Engineering teams, and communicate findings to both technical and non-technical audiences. The ideal candidate possesses 2-4 years of experience in customer risk management at a payments or financial company, fluency in SQL and Python or R, and strong communication and collaboration skills. A Bachelor's or Master's degree in a quantitative field is desired.

Requirements

• EXPERIENCE - 2-4 years work experience in customer risk management at a payments or financial company
• TECHNICAL SKILLS - Fluent in SQL and Python or R
• PEOPLE SKILLS - A team player with ability to collaborate and influence across different teams in the organization
• COMMUNICATION - Ability to clearly communicate findings and recommendations to both technical and non-technical audiences
• PRODUCT KNOWLEDGE - Passion to understand how the product works and how to change to make it more effective
• MULTI-TASKING - Strong time management skills and the ability to manage multiple projects and priorities Able to thrive in a fast-paced environment and be responsive and available during high intensity moments
• EDUCATION - Bachelor’s or Master’s degree degree in a quantitatively rigorous discipline like engineering, statistics, math, or economics desired
• RISK KNOWLEDGE - Knowledge of the fundamentals of payment processing and an understanding of industry risk trends, including familiarity with risk strategy development

Responsibilities

• Proactively explore data and identify opportunities to help accelerate product development or improve existing products in Trust and Safety domain, and drive the analytical work of online experiment to optimize the existing fraud decisioning strategies to achieve better conversion rate
• Translate analysis and trends into recommendations for business logic to improve identity and fraud conversion rates or fraud rates
• Develop scalable frameworks to manage tiered cutoffs for proprietary fraud machine learning models
• Evaluate innovative data sources to solve fraud risk, and partner with the data engineering team to develop and maintain the data pipelines for our core datasets for analytical purposes
• Own end-to-end analytics workflow, including defining success and performance metrics, socializing them across the organization, and creating actionable dashboards and reports
• Partner with Machine Learning on building fraud and identity verification strategies for new product, market, and user segments
• Partner closely with Product and Engineering to identify highest impact points in the funnel to drive user acquisition and retention

Benefits

• Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents
• Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
• Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge
• ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount