About the position
This role is responsible for owning the end-to-end analytics workflow, including defining success metrics, creating actionable dashboards, and working with data engineers to maintain key datasets. The focus is on exploring data to identify opportunities for product development and improving fraud decisioning processes. The ideal candidate should have 1-2.5/3 years of prior analytical experience in fraud/identity or credit, be fluent in SQL and have hands-on experience with Python. Strong communication skills and the ability to manage multiple projects are also important. A bachelor's degree in a quantitatively rigorous discipline is desired.
Responsibilities
- Own end-to-end analytics workflow, including defining success and performance metrics, socializing them across the organization, and creating actionable dashboards and reports
- Work with data engineers to maintain and update key data pipeline and analytical datasets
- Proactively explore data and identify opportunities to help accelerate product development or improve the existing online identity and fraud decisioning process
- Evaluate data to track the conversion and fraud impact through experiments and form recommendations
- Translate analysis results to recommend rule creation and implementation and partner with Machine Learning team on building new fraud strategies
- Support new product formation and new vertical exploration under Trust and Safety area
Requirements
- 1-2.5/3 years of prior analytical experience in fraud/identity or credit at a payments or financial company
- Able to thrive in a fast-paced environment and be responsive and available during times of peak fraud activity
- Fluent in SQL; hands-on experience with Python
- Ability to communicate findings and recommendations clearly to both technical and non-technical audiences
- Strong time management skills and the ability to manage multiple projects and priorities
- Bachelor's degree in a quantitatively rigorous discipline like engineering, statistics, math, finance, economics desired
- Working knowledge of the fundamentals of payment processing and an understanding of industry risk trends, including familiarity with risk strategy development
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