Senior Manager, Credit Analytics

Upstart
United States | RemoteUp to $15kPosted 19 March 2026

Job Description

About Upstart At Upstart, we’re united by a mission that matters: to radically reduce the cost and complexity of borrowing for all Americans. Every day, we bring creativity, experimentation, and advanced AI to reshape access to credit, helping millions move forward financially with clarity and confidence. As the leading AI lending marketplace, we partner with banks and credit unions to expand access to affordable credit through technology that’s both radically intelligent and deeply human. Our platform runs over one million predictions per borrower using more than 1,800 signals, powering smarter, fairer decisions for millions of customers. But the numbers only hint at the impact. Every idea, every voice, and every contribution moves us closer to a world where credit never stands between people and their financial progress. We’re proudly digital-first, giving most Upstarters the flexibility to do their best work from wherever they thrive, alongside teammates across 80+ cities in the US and Canada. Digital-first doesn’t mean distant. We’re intentional about in-person connection through team onsites, planning sessions, and moments that spark creativity and trust. And whether you choose to work primarily from home or collaborate in-person from one of our offices in Columbus, Austin, the Bay Area, or New York City (opening Summer 2026), you’ll have the support to work in the way that works best for you. If you’re energized by tackling meaningful problems, excited to innovate with purpose, and motivated by work that truly matters, we’d love to hear from you. The Team: The Analytics team at Upstart is at the forefront of AI/ML-driven credit lending across the organization. Our team employs advanced analytical and technical prowess to deliver comprehensive support in Upstart’s lending platform. The Credit Analytics team is building out foundational frameworks and infrastructures on loan performance and forecasting, market cycles and emerging trends, risk and return trade-offs, among others. We also take pride in developing our business intelligence tools to empower self-service reporting and streamlining work processes through automation. As a Senior Manager at Upstart, you will join our Credit Analytics horizontal team. In this multi-disciplinary role, you will drive strategic workstreams spanning across valuation and credit oversight, shaping and hands-on scaling our analytics processes, credit performance frameworks, and post-origination forecasting methodologies. Collaborating across Data Analytics, Machine Learning, Product, and Finance teams, you will spearhead cross-functional initiatives that embed rigorous valuation models, forward-looking credit governance, and automated processes—empowering Upstart’s multi-product growth and reinforcing our market leadership in lending. How you’ll make an impact: Partner with the Data Analytics vertical teams, Machine Learning, Product, Engineering, and Finance teams to shape credit metrics and narratives, financial forecast, and driving consensus in the state of Upstart platform Influence Upstart’s credit platform and investor/lending community through informing decisions, opportunities, and risks, while supported by deep understanding and insights on Upstart’s machine learning model, credit, and valuation Lead and develop analytics on underwriting decisions, credit monitoring, model impacts, asset forecast, and valuation modeling to conduct in-depth analyses on credit data, trends, and anomalies that drive model and product decisions Develop foundational forecast pipelines, and automated reporting to enable robust and dynamic credit intelligence for Upstart analyst community Mentor junior team members on best practices and foster a center of excellence on data, credit, and analytics Minimum Qualifications: 8+ years professional experience with demonstrated growth and leadership in technology and financial industry Experience in developing credit analytics, financial foreca ... (truncated, view full listing at source)
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