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Affirm
is hiring
Data Analyst, Fraud Analytics
About Our Company
At Affirm, we’re using today’s technology to bring significant disruptive innovation to the financial industry. We focus on improving the lives of consumers by delivering simple, honest and transparent financial products.
We have roles across a variety of teams, including engineering, product, finance, operations, revenue, marketing, people and more.
Job Description & Responsibilities
WHAT YOU’LL DO
Proactively explore data and identify opportunities to help accelerate product development or improve existing products in Trust and Safety, and drive the analytical work of online experiment to optimise the existing 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, socialising them across the organisation, 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
Requirements
WHAT WE LOOK FOR
2-4 years work experience in customer risk management at a payments or financial company.
Fluent in SQL and Python
A team player with ability to collaborate and influence across different teams in the organisation
Ability to clearly communicate findings and recommendations to both technical and non-technical audiences
Passion to understand how the product works and how to change to make it more effective
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
Bachelor’s or Master’s degree degree in a quantitatively rigorous discipline like engineering, statistics, math, or economics desired
Knowledge of the fundamentals of payment processing and an understanding of industry risk trends, including familiarity with risk strategy development.
What we offer
Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company).
