<div class="content-intro">Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.</div>The Fraud Strategy and Analytics team is responsible for analyzing, developing and optimizing Affirm's online fraud decisioning strategy. The team works cross-functionally with Product, Engineering, Operations, and Finance teams to define and ensure accurate execution of the fraud strategy to effectively prevent fraud losses. This role requires extensive use of data analytics to derive insights and develop/update fraud strategies, collaborating with cross-functional partners. Full stack analyst works with the Product teams to develop new fraud features, with the engineering team to launch online experiment to test out the performance of the new features, with the Operation team to execute risk and resolution strategies, with the Finance team to help facilitate discussions on portfolio performance and loss forecasting.  Come join us in our mission to change consumer finance through better data and technology, lower costs, and increased transparency while providing the best customer experience. WHAT YOU’LL DO  <ul> <li> 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. </li> <li> Translate analysis and trends into recommendations for business logic to improve identity and fraud conversion rates or fraud rates </li> <li> Develop scalable frameworks to manage tiered cutoffs for proprietary fraud machine learning models </li> <li> 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.  </li> <li> Own end-to-end analytics workflow, including defining success and performance metrics, socialising them across the organisation, and creating actionable dashboards and reports </li> <li> Partner with Machine Learning on building fraud and identity verification strategies for new product, market, and user segments </li> <li> Partner closely with Product and Engineering to identify highest impact points in the funnel to drive user acquisition and retention </li> </ul>   WHAT WE LOOK FOR <ul> <li> 2-4 years work experience in customer risk management at a payments or financial company. </li> <li> Fluent in SQL and Python  </li> <li> A team player with ability to collaborate and influence across different teams in the organisation </li> <li> Ability to clearly communicate findings and recommendations to both technical and non-technical audiences </li> <li> Passion to understand how the product works and how to change to make it more effective </li> <li> Strong time management skills and the ability to manage multiple projects and priorities </li> <li> Able to thrive in a fast-paced environment and be responsive and available during high intensity moments </li> <li> Bachelor’s or Master’s degree degree in a quantitatively rigorous discipline like engineering, statistics, math, or economics desired </li> <li> Knowledge of the fundamentals of payment processing and an understanding of industry risk trends, including familiarity with risk strategy development.  </li> </ul> Pay Grade - K Equity Grade - 6 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.  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). USA base pay range (CA, WA, NY, NJ, CT) per year: $140,000 - $190,000 USA base pay range (all other U.S. states) per year: $124,000 - $174,000 #LI-Remote<div class="content-conclusion"><div> Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities. We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include:  <ul> <li style="font-weight: 400;">Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents </li> <li style="font-weight: 400;">Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses</li> <li style="font-weight: 400;">Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge</li> <li style="font-weight: 400;">ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount</li> </ul> We believe It’s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process. [For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records. </div> <div> By clicking "Submit Application," you acknowledge that you have read Affirm's <a href="https://www.affirm.com/global-candidate-privacy-notice" target="_blank">Global Candidate Privacy Notice</a> and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein. </div></div>

Analyst II, Full Stack (Fraud Analytics)

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