Risk Portfolio Analytics Manager

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.

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.

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.
  

• 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).

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.