• Be an Analytics Engineering leader within the Consumer organization and a key contributor and collaborator to the success of Data Science data quality, performance, reliability, and automation initiatives. • Be the data steward for Consumer products: architect and improve the collection of underlying data while also creating ETLs, reporting dashboards, data aggregations and other deliverables needed for product feature tracking, user retention analysis, A/B testing, and a large number of other data-driven activities. • Develop and maintain robust data pipelines and workflows for data ingestion, processing, and transformation. Work closely with engineering to ensure the quality and reliability of these data pipelines. • Create user-friendly tools and applications for internal use across Data Science and cross-functional teams, streamlining data analysis and reporting processes. Drive widespread adoption of these tools and applications with a relentless focus on automation, consistency, and reliability. • Lead transformational efforts to build a data-driven culture at Reddit by enabling data self-service. • Provide technical guidance, mentorship, coaching and/or training to data scientists and other technical partners. • Serve as a thought partner for data scientists, engineering managers, and leadership on data foundations, communicating and shaping the data foundations roadmap and strategy for Reddit.

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 Risk & Analytics team makes crucial decisions that direct Affirm’s business strategy. Our team designs and runs experiments to decide which product features to launch and which marketing campaigns to fund. We analyze performance not just to report on it, but to determine where to invest resources for maximum impact through building tools and analytical frameworks. We take ownership of the entire analytical lifecycle, from initial question to final business decision, ensuring Affirm grows efficiently and intelligently. The Credit team works cross-functionally with Machine Learning, Product, Engineering, Capital Markets, and Commercial teams to responsibly manage the risk profile of the business. We’re looking for a thoughtful, driven individual who wants to learn, grow, and solve hard problems. The team’s mandate is to enable sustainable growth while closely managing the profitability and resilience of our portfolio. As Affirm continues on an exciting growth trajectory; thinking through credit policies for new initiatives and products, shaping ongoing testing and experimentation, and being ready for navigating through any exogenous changes will be important problems to tackle. The ideal candidate brings exceptional analytical rigor, deep credit domain expertise, and the ability to influence stakeholders across both technical and non-technical teams. You thrive in ambiguity, can translate complex regulatory and economic insights into actionable credit strategies, and are comfortable operating at both strategic and execution levels. 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 - Leverage advanced data analytics to derive insights and optimize credit strategies across products and geographies. - Partner with Engineering to design and build scalable risk models and credit risk capabilities. - Monitor portfolio performance and macroeconomic trends that impact loan outcomes; proactively adjust underwriting and marketing strategies to mitigate risk. - Collaborate closely with Product, Legal, and Compliance teams to interpret evolving regulatory and market requirements across jurisdictions, and translate them into credit policy, underwriting, and product design recommendations. - Engage and coordinate with external stakeholders — including merchants, vendors, and regulatory bodies — to align credit risk practices, ensure compliance, and strengthen strategic partnerships. - Oversee the development and execution of credit underwriting frameworks that balance growth, compliance, and risk mitigation goals. - Drive cross-functional discussions to ensure new product launches and market entries are aligned with risk appetite, operational capabilities, and local regulations. What we look for - Degree in Data Science, Computer Science, Engineering, Economics, or a related field, and 4+ years of experience (or equivalent senior-level experience) - Experience setting credit strategy for de novo products using Sandbox data, retrospective studies or archives - Experience in high-line unsecured lending, especially in the home improvement vertical - SQL, Python, or other scripting languages - Data mining, data visualisation, and statistical modeling - Applying machine learning techniques to credit risk management - Leveraging advanced analytics to develop and optimise credit strategies - Monitoring and interpreting model performance metrics across portfolios - Proven experience leading cross-functional initiatives that bridge Product, Legal, Compliance, and Engineering to align credit strategies with regulatory frameworks and business objectives. - Deep understanding of consumer lending regulations, fair lending principles, and regional market dynamics influencing credit policy and underwriting. - Ability to translate complex regulatory and economic insights into actionable credit and product strategies. - Demonstrated success mentoring high-performing analytical teams and driving data-informed decision-making at scale. - Exceptional communication skills with the ability to influence senior stakeholders across technical and non-technical functions. Pay Grade - M Equity Grade - 8 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 equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA base pay range (CA, WA, NY, NJ, CT) per year: $180,000 - $230,000 USA base pay range (all other U.S. states) per year: $160,000 - $180,000 #LI-Remote 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: - 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 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.

Role Description This position is in our Financial Services and Data group, and works heavily in credit analytics. You will report to the Senior Director of Data Modelling. This is a remote position. - Build scalable, production-grade AI systems that automate and enhance credit analytics and credit decisioning workflows. - Develop and integrate AI solutions across the credit lifecycle, including: - Origination - Underwriting - Limit setting - Portfolio monitoring - Model validation - Develop evaluation and guardrail frameworks to ensure response accuracy, reduce hallucinations, and support human-in-the-loop review, including offline testing with ground-truth datasets. - Develop and operate enterprise-grade AI services with a focus on: - Scalability - Security - Reliability - Performance - Latency optimization - Implement LLMOps and GenAI operational practices, including: - Prompt management - Model versioning - Monitoring - CI/CD pipelines - Observability for cost, latency, and response quality - Partner with analytics, engineering, and product teams to embed AI into existing platforms and deliver new AI-driven capabilities across the organization. - Evaluate and adopt modern orchestration frameworks and cloud-native AI tools (such as LangGraph and AWS-based services), while staying current with new AI system design patterns. Qualifications - Master's degree in Computer Science, Data Science, or a related quantitative field, or equivalent practical experience. - 8+ years of professional experience in data science, machine learning, or AI engineering, to build and operate production-grade AI, ML, or Generative AI systems. - Domain experience in financial services, with exposure to credit, lending, risk, or analytics-driven decisioning environments. - Experience working in regulated or governed environments, with understanding of data governance, model risk management, regulatory compliance, and responsible AI practices. - Hands-on experience developing Generative AI and LLM-based applications, including retrieval-augmented generation (RAG), prompt design, evaluation methods, and system optimization in production environments. - Proficiency in Python (required) and SQL. - Familiarity with modern Generative AI frameworks. Benefits - Great compensation package and bonus plan. - Core benefits including medical, dental, vision, and matching 401K. - Flexible work environment, ability to work remote, hybrid or in-office. - Flexible time off including volunteer time off, vacation, sick and 12-paid holidays. - Explore all our exciting benefits here: myexperianbenefits.com

• Design, develop, and maintain Python-based analytical applications supporting reporting, planning, and decision-making • Build and support data pipelines and workflows, including ingestion, transformation, validation, and integration • Develop and optimize SQL queries, database schemas, and data access patterns for performance and scalability • Create user-facing dashboards, visualizations, and analytical interfaces to enable data exploration and insight generation • Translate complex analytical requirements into scalable, maintainable software solutions • Implement best practices in software development, including version control, testing, and code reviews • Support application lifecycle management, including enhancements, troubleshooting, and performance optimization • Collaborate with technical teams and stakeholders to define requirements and deliver high-quality solutions • Ensure secure development practices and proper handling of data and application dependencies • Document application architecture, workflows, and operational processes