HMDA/Fair Lending Manager

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 3,000 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, 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:

Upstart’s Responsible AI Lending team supports fair and responsible lending practices through compliance oversight, analysis, and controls. The team partners across Product Compliance, Fair Lending, and Model Risk to identify and manage regulatory risk while supporting Upstart Bank’s continued growth.

As the HMDA / Fair Lending Manager , you will own key elements of Upstart Bank’s Home Mortgage Disclosure Act compliance program, with a focus on data integrity, reporting, and second-line oversight. You will establish and manage the HMDA quality program while expanding your impact over time through geographic analysis, Fair Lending support, and thoughtful use of automation to make compliance reviews more effective and scalable.

How you’ll make an impact

Own the HMDA data-quality lifecycle, including periodic Loan/Application Register reviews, quarterly and annual filing preparation, and oversight of reporting accuracy and timeliness.

Identify data-quality issues and root causes, partner with business teams on corrective actions, and monitor remediation through resolution.

Build and maintain a risk-based HMDA sampling and quality-assurance program that provides an effective second-line challenge of business-owned reporting data.

Perform and support geographic analysis of lending patterns to identify potential redlining and other Fair Lending risks and contribute to broader Fair Lending monitoring.

Partner with Product Compliance, Fair Lending, Model Risk, and business teams to clarify responsibilities, improve controls, and promote consistent data-quality practices.

Use automation and Generative AI responsibly to improve sampling, anomaly detection, trend analysis, and documentation while maintaining appropriate human review for regulatory interpretation and reporting decisions.

Minimum Qualifications

4+ years of hands-on experience reviewing HMDA Loan/Application Register data and applying HMDA data integrity, geocoding, and reporting requirements.

Experience preparing, reviewing, or supporting quarterly and annual HMDA submissions in a regulated lending or financial-services environment.

Experience performing root-cause analysis of compliance or regulatory data issues and coordinating remediation with business or operational teams.

Working knowledge of applicable Fair Lending requirements, including the Equal Credit Opportunity Act/Regulation B and Fair Housing Act.

Experience performing compliance testing, quality assurance, monitoring, or other second-line oversight activities involving regulated lending data.

Preferred Qualifications

Knowledge of geographic or redlining analysis used to support Fair Lending monitoring.

Experience building or improving risk-based sampling methodologies, quality-control programs, or compliance monitoring frameworks.