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Upstart’s Investor Analytics team leads the credit and performance story for the HELOC program, building data pipelines and automated monitoring to report with authority to investors and partners. As Staff Analyst, you’ll partner with Capital Markets, Lending Partnerships, ML, Product, and Finance to shape metrics, calibrate models, and forecast outcomes, while mentoring teammates.
The role emphasizes AI-assisted development using Claude Code and Codex to accelerate insights and ensure reliable,
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 (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.
Upstart’s Investor Analytics team plays a pivotal role in securing capital, a critical function that powers our business. We deliver the analytical insight and technical capability behind how institutional capital partners understand and price Upstart’s credit performance, working across Capital Markets, Lending Partnerships, Machine Learning, Product, and Finance to keep that view accurate and current. Our priority right now is putting the credit groundwork in place for HELOC, Upstart’s home equity product as we go to market to raise capital,
As the Staff Analyst, Investor Analytics at Upstart, you will own the credit and performance story for our HELOC business end to end, building the performance data, automated monitoring, and recurring reporting that let us speak with authority about how the book is performing. You will partner closely with our Capital Markets, Lending Partnership, Machine Learning, and Product teams, work directly with some of the top institutional capital providers in the industry, and help model and steer deal strategy for our capital partners. We build with AI: the team uses agentic coding tools such as Claude Code and Codex daily to automate our credit pipelines, monitoring, and reporting, so more of your time goes to analysis and judgment and less to plumbing.
This role is available in the following locations: Remote
The team operates on the East/West coast time zones.
As a digital first company, the majority of your work can be accomplished remotely. The majority of our employees can live and work anywhere in the U.S or Canada (outside of Quebec) but are expected to spend high quality time in-person collaborating via regular onsites and in-person meetings. The onsite cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time.
At Upstart, your base pay is one part of your total compensation package. The anticipated base salary for this position is expected to be within the below range. Your actual base pay will depend on your geographic location–with our “digital first” philosophy, Upstart uses compensation regions that vary depending on location. Individual pay is also determined by job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
In addition, Upstart provides employees with target bonuses, equity compensation, and generous benefits packages (including medical, dental, vision, and 401k).
United States | Remote - Anticipated Base Salary Range
$157,000—$217,500 USD
At Upstart, your base pay is one part of your total compensation package. The anticipated base salary for this position is expected to be within the below range. Your actual base pay will depend on your geographic location–with our “digital first” philosophy, Upstart uses compensation regions that vary depending on location. Individual pay is also determined by job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
In addition, Upstart provides employees with target bonuses, equity compensation, and generous benefits packages (including medical, dental, vision, and 401k).
Canada | Remote - Anticipated Base Salary Range
$140,300—$175,000 USD
At Upstart, our benefits are designed to support your health, financial well‑being, family, and personal growth. Here’s what you can expect:
For roles based in Canada, please note that we are not currently able to hire in Quebec.
Upstart is a proud Equal Opportunity Employer. Just as we are dedicated to improving access to affordable credit for all, we are committed to inclusive and fair hiring practices.
If you require reasonable accommodation in completing an application, interviewing, completing any pre‑employment testing, or otherwise participating in the employee selection process, please email candidate_accommodations@upstart.com
https://www.upstart.com/candidate_privacy_policy