• Collaborate with band members on the Ads API and Data Store team to enhance our API and data ecosystem, including ingestion, consumption, transformation and storage. • Collaborate with engineering squads across Spotify, helping them enhance their products by providing first class data solutions, knowledge and education. • Work in an environment that supports your individual growth. • Improve operational excellence and share your knowledge across the company to promote best practices.

Role Description 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. 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 - Proactively explore data and identify opportunities to help accelerate product development or improve existing products in Trust and Safety. - Drive the analytical work of online experiments to optimize existing strategies for better conversion rates. - 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 data pipelines for core datasets. - Own end-to-end analytics workflow, including defining success and performance metrics, socializing them across the organization, and creating actionable dashboards and reports. - Partner with Machine Learning on building fraud and identity verification strategies for new products, markets, and user segments. - Partner closely with Product and Engineering to identify highest impact points in the funnel to drive user acquisition and retention. Qualifications - 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 organization. - 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 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. Requirements - 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 based on a variety of factors, including location, experience, and job-related skills. - 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. 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. Company Description 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 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. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.

• Design, implement and maintain our core service, such as Identity, Auth, Payment, Financial, Risk etc. • Scale out core platform to support business growth while maintaining performance and reliability • Continuously improving our daily operations with automation, tooling, design evolution, observability etc.

• Design, develop and maintain services written in Go and Python powering ExtraHop’s products. • Lead and participate actively in agile development processes, code reviews, and technical strategy discussions. • Provide technical leadership to junior team members and leverage design and mentorship experience to help enable the team • Act as a technical expert, fostering a culture of excellence, curiosity and collaborative problem solving. • Address technical debt proactively, continually improving our codebase and technical stack