
About Affirm
Transparent financing for modern consumers
Key Highlights
- 21M+ consumers and 337,000+ merchants using Affirm
- Raised $1.1B in funding, currently in Series F
- Flexible payback options from 3 to 36 months
- Headquartered in Chinatown, San Francisco, CA
Affirm, headquartered in Chinatown, San Francisco, CA, is a leading fintech company specializing in point-of-sale installment loans. With over 21 million consumers and 337,000+ merchants including Shopify, KAYAK, and Walmart, Affirm offers flexible payback options ranging from 3 to 36 months. The co...
🎁 Benefits
Affirm offers a remote-first workforce policy, allowing employees to work from anywhere in their home country. Benefits include 18 weeks of paid paren...
🌟 Culture
Affirm's culture is centered around transparency and consumer empowerment, with a focus on delivering honest financial products. The company actively ...
Skills & Technologies
Overview
Affirm is seeking a Mid-Level Data Analyst to join their Fraud Strategy and Analytics team. You'll analyze data to optimize fraud decisioning strategies and collaborate with cross-functional teams. This role requires strong skills in SQL and data analytics.
Job Description
Who you are
You have a strong background in data analytics, with experience in analyzing complex datasets to derive actionable insights. You are proficient in SQL and have a solid understanding of fraud prevention strategies. You thrive in collaborative environments, working closely with product, engineering, operations, and finance teams to drive improvements in fraud detection and prevention. You are detail-oriented and have a knack for translating data trends into business recommendations that enhance product features and user experience. You are comfortable with experimentation and can design and analyze online tests to evaluate the effectiveness of new fraud features. You are committed to continuous learning and improvement, always seeking to enhance your skills and knowledge in data analytics and fraud strategy.
What you'll do
In this role, you will proactively explore data to identify opportunities that accelerate product development and improve existing products in Trust and Safety. You will drive the analytical work of online experiments to optimize existing strategies, aiming for better conversion rates in fraud detection. You will collaborate with product teams to develop new fraud features and work with engineering to launch experiments that test the performance of these features. Additionally, you will engage with operations to execute risk and resolution strategies and partner with finance to facilitate discussions on portfolio performance and loss forecasting. Your insights will be crucial in shaping the fraud strategy and ensuring its effective execution across the organization.
What we offer
At Affirm, you will be part of a mission-driven team that is changing consumer finance through better data and technology. We offer a flexible remote work environment, competitive compensation, and opportunities for professional growth. You will have the chance to work on impactful projects that enhance customer experience and contribute to the overall success of the company. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.
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