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. After building a market-leading BNPL network, we’re entering our next ambitious chapter: transforming DTC shopping. At the center of this vision is the Affirm Marketplace, a rapidly scaling, high-leverage platform that connects consumers with merchants in a dynamic, two-sided ecosystem. We’re looking for a Marketplace Analytics Lead to help architect and optimize the economic engine of our marketplace, balancing supply, demand, pricing, and user experience to drive sustainable growth. This is a high-impact IC role at the intersection of product, growth, and marketplace strategy. What You’ll Do - Own marketplace monetization and economics, balancing merchant supply, consumer demand, and pricing to drive engagement, conversion, and profitability - Monitor marketplace performance and adjust strategies based on engagement, relevance, merchant outcomes, LTV, and overall health - Build and maintain dashboards and reporting to track key Marketplace KPIs and enable data-driven decisions - Partner with Sales, Client Success, and Marketing to grow marketplace partners and increase merchant value - Collaborate with Product and Engineering to improve the effectiveness, competitiveness, and relevance of Marketplace inventory and offers - Analyze supply-side dynamics, including incentives, pricing, and placement, to understand elasticity and drive incremental GMV - Lead analyses and experiments to test and refine new placements and optimize marketplace performance - Conduct loan-level profitability analyses to ensure offers align with credit and financial goals while balancing consumer and merchant value - Evaluate affiliate portfolio performance by integrating network data, identifying trends, and assessing the incremental impact of merchant-funded incentives What We’re Looking For - 7+ years in analytics, with experience in marketplaces, ads/affiliate ecosystems, or two-sided platforms - Strong intuition for supply-demand dynamics, pricing, and marketplace tradeoffs - Experience with data tools such as SQL, Python, DBT, Sigma; comfortable managing ETLs and working with engineering teams to optimize data pipelines - Strong curiosity and bias toward leveraging AI tools to accelerate analysis, automate workflows, and increase personal and team productivity - Experience working cross-functionally with Product, GTM, and Engineering - High ownership, strong judgment, and a bias toward action 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: $180000 - $230000 USA base pay range (all other U.S. states) per year: $160000 - $180000 #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.

• Define and execute BeReal’s product analytics roadmap, aligning modeling, observability, and tooling with product priorities. • Partner closely with Product Managers to translate product loops, retention mechanics, and experimentation needs into scalable data models. • Build and deploy AI-powered internal analytics tools that enable stakeholders to query data in natural language. • Own the integration between BigQuery, Amplitude, and our experimentation framework to ensure a single source of truth for metrics. • Design and maintain a self-service metrics layer that enables PMs to independently analyze funnels and experiments. • Write production-grade dbt models and optimize SQL transformations for reliability, performance, and scalability. • Lead technical reviews and establish best practices for analytics engineering. • Collaborate with Backend and Mobile teams to ensure analytics instrumentation is robust and analytics-ready from day one. • Monitor data quality and observability to guarantee trust in product metrics and reporting.

Role Description Arcana is a portfolio intelligence platform used by hedge funds and asset managers to analyze performance, risk, and portfolio exposures. We’re rethinking the analytical infrastructure institutional investors rely on—and we’re hiring analytically driven problem solvers who want to help shape the future of investment technology. This is not a traditional investment analyst role focused on pitching stocks or building static models. Our Portfolio Analytics Specialists work directly with clients, product, and engineering teams to onboard sophisticated investment firms, solve complex portfolio analytics challenges, and help build institutional-grade financial software. If you enjoy owning projects end-to-end, working closely with institutional investors, and translating analytical problems into scalable workflows and tools, we’d love to talk. Responsibilities - Lead onboarding and implementation projects for hedge funds and asset managers using Arcana’s portfolio intelligence platform - Partner directly with portfolio managers, analysts, risk teams, and operations teams to understand workflows and analytical requirements - Collaborate cross-functionally with product, engineering, and data science teams to improve analytics workflows and platform capabilities - Troubleshoot client issues and drive resolution across analytical, operational, and technical domains - Help shape product direction by identifying recurring client needs, workflow inefficiencies, and opportunities for automation - Clearly communicate analytical insights and platform functionality to sophisticated institutional users Qualifications - Bachelor’s or Master’s degree in Finance, Economics, Engineering, Mathematics, Computer Science, or a related field - Strong academic performance, 3.7+ GPA - Experience with Excel and analytical tools required - Familiarity with Bloomberg, FactSet, Aladdin, or similar financial platforms is a plus - Experience with Python, SQL, or other analytical/programming tools is beneficial but not required - CFA, FRM, or related certifications are a plus - Open to New York, Chicago, or Remote Requirements - 2–5 years of experience in a highly analytical, client-facing, or execution-oriented role within financial services, fintech, or investment technology - Strong project ownership skills with the ability to independently manage initiatives from onboarding through execution - Excellent analytical and problem-solving abilities, including comfort working with large datasets and financial concepts - Strong communication and interpersonal skills, with the ability to explain complex analytical concepts clearly to institutional clients - Familiarity with portfolio analytics concepts such as performance attribution, factor exposures, risk metrics, drawdowns, correlation, and volatility - Demonstrated interest in financial markets, portfolio management, and institutional investment workflows - Highly organized, detail-oriented, and comfortable operating in a fast-paced environment - Ability to work cross-functionally with clients, product managers, engineers, and data teams

• Develop, maintain, and optimize SQL queries, stored procedures, and database scripts • Load, transform, and validate large datasets within SQL Server environments • Support ETL-related workflows, including data extraction, transformation, cleansing, and migration activities • Perform data cleanup and manipulation tasks to improve overall data quality and consistency • Troubleshoot SQL performance issues and optimize complex queries • Collaborate with engineering and business stakeholders to understand data requirements and deliver accurate solutions • Assist with ongoing database maintenance and operational support activities • Ensure data integrity, validation, and reconciliation across systems • Create and maintain technical documentation related to database and ETL processes