Pipe

• Manage relationships with new and existing investors and lenders • Develop and maintain robust financial and operating models to support strategic planning, forecasting, and resource allocation • Track and analyze operating expenses, key financial metrics, and strategic goals, and provide detailed analysis and commentary on performance-to-plan • Support operational needs for existing funding deals, including cash management and allocation of originations to facilities • Produce periodic reporting and monitor facilities, including develop requirements for automation to improve efficiencies and reduce operational and forecast financial risk • Analyze and manage allocation of assets across multiple funding channels to optimize funding efficiency and liquidity availability • Support short-term liquidity forecasting and monitoring to ensure adequate funding availability across funding facilities and corporate treasury accounts • Support treasury operations including liquidity management, cash positioning, and coordinate fund movements between corporate accounts, funding facilities, and partner payment flows • Manage and validate funding data pipelines including funding tapes, facility eligibility datasets, and reconciliation of asset-level data used in reporting and borrowing base calculations • Collaborate with Product, Underwriting/Risk, Finance, Engineering, and Legal to maintain and improve funding program design, data pipelines, and operational workflows supporting capital markets and FP&A processes

• Designing, developing, and deploying scalable and reliable backend services, primarily using Go and Python. • Architecting, optimizing, and maintaining relational database tables in PostgreSQL. • Leading technical projects from concept to launch, ensuring high quality and reliability. • Collaborating with cross-functional teams, including product managers and other engineers, to define requirements and implement solutions. • Conducting thorough code reviews and championing engineering best practices.

About Pipe Pipe is the modern capital platform built to connect entrepreneurs and business owners to fast, frictionless, dilution-free financing. Pipe turns all forms of revenue into up-front working capital to help companies improve cash flow, scale operations, and grow on their terms. US-based role. Remote-first. About the Role The Risk Portfolio Analytics Manager will lead key risk reporting and analytics efforts across Pipe’s portfolio, ensuring the business maintains a clear, data-driven view of its risk exposure, portfolio performance, and emerging trends. This role is responsible for producing and enhancing critical reporting for the CFRMC (Credit, Fraud & Risk Management Committee), capital markets partners, and executive stakeholders. You’ll play a pivotal role in identifying and communicating risk insights that drive strategic decisions, partnering closely with Finance, Capital Markets, Data Science, and Operations. What You’ll Do Lead Risk Reporting & Insights Own the production, accuracy, and delivery of risk reporting for the CFRMC and other key governance bodies. Develop and maintain dashboards and reports that track key portfolio metrics, including credit performance, loss trends, and risk-adjusted returns. Partner with leadership to translate analytical findings into clear narratives and recommendations. Portfolio & Capital Markets Analytics Monitor portfolio performance across cohorts, products, and segments to identify emerging risks and opportunities. Deliver analytics and reporting to support capital markets activities, ensuring transparency and alignment with investors and partners. Collaborate with Finance and Capital Markets teams to assess credit performance, portfolio composition, and loss forecasting. Fraud & Collection Risk Analysis Support development and enhancement of fraud detection and prevention analytics. Partner with Collections to assess recovery performance and identify process or strategy improvements. Analyze trends in delinquencies, losses, and recoveries to inform proactive risk management. Governance & Process Excellence Enhance the consistency, accuracy, and timeliness of risk data and reporting processes. Establish controls and validation checks to ensure high data integrity across reporting outputs. Continuously evolve reporting frameworks to meet business and regulatory needs. What We’re Looking For 6–10 years of experience in risk management, portfolio analytics, or financial analysis, ideally within fintech, lending, or capital markets. Strong quantitative and analytical skills; ability to translate complex data into actionable insights. Experience with risk reporting, credit performance metrics, and loss forecasting. Proficiency in SQL, Python/R, and data visualization tools (e.g., Looker, Tableau, Power BI). Solid understanding of financial modeling, credit risk frameworks, and/or securitization analytics. Excellent communication skills — able to present insights clearly to both technical and executive audiences. Bachelor’s degree in Finance, Economics, Mathematics, Data Science, or related field (Master’s preferred). Compensation and Benefits We want you to feel like an owner and that should be reflected in your salary and equity. The best equipment: if you want it, and it helps you do your job, we'll provide it. Computers, monitors, desks, chairs, headphones, speakers, microphones, webcams, keyboards, mice, etc. A good work-life balance: we do our best work when we regularly can step away from it and live our lives. Flexible vacation and work hours. We don't adopt conventional work practices that are meaningless for the type of work we do. Parental leave for anyone who is growing their family, regardless of gender. Very good health, dental, and vision insurance. Great colleagues: we value a culture of authenticity, humility, and excellence. We want you to make a footprint on our culture. The annual US base salary range for this role is $200,000 - $270,000. This salary range may be inclusive of several career levels at Pipe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location.