Transparent financing for modern consumers
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...
Affirm offers a remote-first workforce policy, allowing employees to work from anywhere in their home country. Benefits include 18 weeks of paid paren...
Affirm's culture is centered around transparency and consumer empowerment, with a focus on delivering honest financial products. The company actively ...
Affirm • Remote Canada
Affirm is seeking a Data Analyst II for their Trust and Safety Analytics team to drive insights and optimize fraud prevention strategies. You'll work with SQL and machine learning to enhance user experience and compliance. This role requires strong analytical skills and experience in data-driven decision-making.
You have a strong background in data analysis, with experience in identifying customer pain points and developing strategies to optimize fraud prevention and user conversion. You are proficient in SQL and have a solid understanding of machine learning principles, allowing you to evaluate innovative data sources and develop scalable frameworks for fraud detection. You thrive in cross-functional environments, collaborating with teams in Product, Engineering, and Compliance to drive data-driven decisions. You are detail-oriented and possess excellent problem-solving skills, enabling you to translate complex data trends into actionable business recommendations. You are passionate about creating a safe and user-friendly experience for customers, continuously seeking to improve processes and systems.
Experience with data visualization tools and reporting dashboards is a plus. Familiarity with fraud verification strategies and risk management will enhance your ability to contribute effectively to the team. A background in compliance and regulatory frameworks related to fraud prevention is also beneficial.
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 analytical work for online experiments aimed at optimizing strategies for better conversion rates. Your responsibilities will include translating analysis and trends into recommendations for business logic that enhance identity verification and reduce fraud rates. You will develop scalable frameworks to manage tiered cutoffs for proprietary fraud machine learning models, ensuring that the decisioning system remains robust and secure. You will partner with the data engineering team to maintain and enhance data models and reporting dashboards, ensuring that insights are accessible and actionable for stakeholders.
Affirm offers a collaborative work environment where your contributions directly impact the user experience and the company's mission to make credit more honest and friendly. You will have the opportunity to work with cutting-edge technologies and methodologies in data analysis and machine learning. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds. Join us in our mission to create a safe and user-friendly platform for consumers.
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