Fraud Analyst, Secured Lending

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:

Upstart's Secured Lending Fraud Oversight function is the Bank's first-line fraud detection, investigation, and monitoring across the HELOC and Auto Lending business lines. As a business unit function, the team owns fraud risk identification, investigation of suspected fraudulent activity, referral package preparation, and fraud trend analysis and reporting. The fraud function operates with direct access to loan files, origination data, and dealer and channel relationships — enabling the depth and speed of investigation that the Bank's fraud risk profile demands. The team works in close coordination with the Secured Lending Quality Control function: QC analysts escalate fraud indicators identified during file reviews, and fraud analysts provide fraud-focused review support during lower-volume periods, consistent with a documented cross-utilization protocol and independence safeguards.

As a Fraud Analyst, you will own day-to-day fraud detection and investigation for your assigned product line(s). You will investigate suspected fraud across the entire loan life cycle from application through loan servicing; identify and document emerging typologies and fraud patterns; prepare escalation and SAR referral packages for review; and partner with Operations, Risk, Compliance, and Legal to strengthen fraud controls across the business.

This is an opportunity for an experienced fraud professional who is energized by building investigation programs in a fast-paced, technology-driven lending environment — and who wants to operate at the intersection of fraud, compliance, and AI-powered risk controls.

How you’ll make an impact

Own first-line fraud detection and investigation across your assigned secured lending product line(s), monitoring for suspicious activity and fraud indicators across application, origination, and servicing

Investigate key fraud risks and emerging typologies, including application fraud, identity fraud (true-name and synthetic), income and employment misrepresentation, collateral fraud, and Auto dealer-related fraud patterns

Investigate product specific fraud typologies including occupancy misrepresentation, valuation inflation, and undisclosed liabilities or loan stacking

Prepare comprehensive fraud escalation and SAR referral packages for review — documenting facts, evidence, typology, and recommendations

Conduct early payment default (EPD) fraud file reviews — performing fraud indicator review on loans reaching 60+ days past due within 90 days of origination

Monitor and analyze fraud trends across origination channels, including application fraud rates, dealer-level fraud indicators, geographic concentrations, synthetic identity patterns, and channel-level risk signals; producing fraud metrics and trend reporting

Maintain dealer fraud scorecards (Auto) and channel-level fraud indicator tracking, including pattern-based referrals and dealer suspension triggers in coordination with Vendor Management and dealer oversight functions

Integrate closely with the Secured Lending QC team — triage fraud-related alerts surfaced by the QC Engine's daily monitoring output; provide typology and red flag feedback to improve detection rules and origination controls

Coordinate across Operations, Compliance, Legal, and Risk on fraud control enhancements, law enforcement information requests, and regulatory response support

Proactively i…