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Upstart

Runs an AI lending marketplace for consumers

Fraud Analyst - Secured Lending

Full-Time
$115.8k - $160.1k+ Target bonus + Equity compensation + 401(k) match + Equity grants + ESPP
Mid
Bachelor's
Remote in USA
RemoteQuarterly or more frequent team onsites may require 2–4 consecutive days in person.
Risk & ComplianceFinancial Crime & AML
Company Historically Provides H1B Sponsorship

About the job

Requirements
  • At least 3 years of experience in fraud investigation, fraud analytics, or financial crimes within consumer lending, banking, or a regulated financial institution.
  • A bachelor's degree or equivalent practical experience.
  • Experience investigating consumer lending fraud, including application fraud, identity fraud, income or employment misrepresentation, and collateral fraud.
  • Experience preparing fraud investigation case documentation, including fact and evidence assembly, typology analysis, and written escalation packages for compliance or legal review.
  • Familiarity with SAR referral processes and 12 CFR 21.11 SAR thresholds and timelines.
  • Working knowledge of BSA/AML program requirements applicable to consumer lending, including CIP/CDD, OFAC screening, suspicious activity monitoring, and Red Flags Rule obligations.
  • Working knowledge of OCC enterprise fraud risk management and FFIEC BSA/AML Manual requirements relevant to fraud investigation and suspicious activity reporting.
  • Experience with fraud trend analysis, including application fraud rate monitoring, typology identification, and channel and geographic concentration analysis.
  • Ability to manage workload, meet deadlines, and proactively communicate risks to timelines with minimal supervision.
  • Ability to collaborate with Operations, Compliance, Legal, and Risk on fraud escalation and control improvement initiatives.
Responsibilities
  • Own first-line fraud detection and investigation across assigned secured lending product lines, monitoring for suspicious activity and fraud indicators across application, origination, and servicing.
  • Investigate key fraud risks and emerging typologies, including application fraud, true-name and synthetic identity fraud, 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 fraud file reviews, reviewing fraud indicators on loans reaching 60 or more 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, and produce fraud metrics and trend reporting.
  • Maintain auto dealer fraud scorecards and channel-level fraud indicator tracking, including pattern-based referrals and dealer suspension triggers, in coordination with Vendor Management and dealer oversight functions.
  • Integrate with the Secured Lending QC team by triaging fraud-related alerts from the QC Engine's daily monitoring output and providing typology and red-flag feedback to improve detection rules and origination controls.
  • Coordinate with Operations, Compliance, Legal, and Risk on fraud control enhancements, law enforcement information requests, and regulatory response support.
  • Identify regulatory risks related to fraud in assigned product lines and adjacent areas, including obligations under OCC Bulletin 2019-37, the FFIEC BSA/AML Manual, the Red Flags Rule (12 CFR Part 41, Subpart J), 12 CFR 21.11, and product-specific fraud risk requirements.
  • Support examination readiness by maintaining audit-ready fraud investigation case records, typology documentation, and program evidence aligned with OCC, FDIC, and CFPB expectations.
Desired Qualifications
  • Experience investigating dealer channel fraud, including power booking, ghost down payments, straw purchases, VIN cloning, title washing, and F&I product abuse.
  • Experience maintaining dealer-level fraud scorecards and pattern-based dealer monitoring or suspension workflows.
  • Experience investigating collateral fraud typologies in home equity lending, including occupancy misrepresentation, appraisal inflation, and undisclosed liabilities or loan stacking.
  • Familiarity with CIP/CDD execution requirements and fraud red flags in account draw activity and maintenance.
  • Experience identifying fraud indicators across income, identity, appraisal, and title documentation within origination files.
  • Certified Fraud Examiner designation or active progress toward CFE certification.
  • Experience reporting fraud metrics to management committees, such as Credit Committee, Risk Committee, or equivalent.
  • Familiarity with early payment default review processes and OCC fraud loss classification requirements.
  • Ability to translate investigation findings into structured, examination-ready documentation for OCC, FDIC, or CFPB review.
  • Experience collaborating across fraud, compliance, legal, and quality control functions in a fast-paced fintech environment.

About the company

Upstart runs an online lending marketplace where banks and credit unions use its AI models to decide which consumers get loans and at what rates. In 2017, it received the first no-action letter issued by the Consumer Financial Protection Bureau, a statement that the regulator had no plans to act against its AI lending model. Borrowers apply through Upstart or a partner lender's website for personal loans, auto loans, home equity lines of credit, and Cash Line, a revolving line of credit. Lenders pay Upstart fees for referring and approving borrowers and for collecting payments, while partner lenders and investment funds put up most of the money lent. Upstart was founded in 2012 and is based in Burlingame, California.

Company Size

1,001-5,000

Company Stage

IPO

Headquarters

Burlingame, California

Founded

2012

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Simplify Jobs

Simplify's Take

What believers are saying

  • Lending is surging: loans through Upstart jumped 50% from a year earlier to $4.2 billion in the June 2026 quarter.
  • Upstart is becoming a bank: in July 2026, a federal regulator conditionally approved Upstart Bank to take over its lending.
  • Work from almost anywhere in the U.S.: 79 of Upstart's 85 open roles in October 2026 were listed as remote.

What critics are saying

  • AI lending rival Pagaya is more profitable: it earned $45 million in the June 2026 quarter to Upstart's $16.5 million.
  • Job security leans on three lenders: they made 83% of Upstart's 2025 loans and paid 61% of its revenue.
  • Stock grants have shrunk: Upstart shares fell 45% from January to October 2026, more than peers SoFi and Pagaya.

What makes Upstart unique

  • Its loan model reads far beyond credit scores: over 3,000 variables, trained on 117 million monthly payments.
  • Software, not staff, handles most loans: as of June 2026, 91% needed no human involvement by Upstart.
  • Unsecured lending pays the bills: loans without collateral made 94% of fee revenue from April to June 2026.

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Benefits

  • Health Insurance
  • 401(k) Company Match
  • Employee Stock Purchase Plan
  • Life Insurance
  • Paid Vacation
  • Parental Leave
  • Flexible Work Hours
  • Wellness Program

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%
Kalkine Media
Oct 20th, 2026
Upstart secures $200M MUFG credit line to capitalise planned Upstart Bank

Upstart Network, a wholly owned subsidiary of Upstart Holdings, has secured a senior secured revolving credit facility of up to $200 million from MUFG Bank. The agreement was signed on October 16, 2026, and disclosed in a Form 8-K filing on October 20. The money will fund general corporate needs and the initial capitalisation of Upstart Bank, N.A. The bank's launch depends on regulatory approval. Borrowings accrue interest at Term SOFR plus 3.00%. The facility matures at the earliest of 364 days after closing, 45 days after the bank's initial capitalisation, or full repayment. Loans must be repaid with proceeds from affiliate loan sales to Upstart Bank, which are expected shortly after it opens.

Yahoo Finance
Oct 15th, 2026
Cohu and Upstart: two AI growth stocks to buy if the market falls from record highs

The S&P 500 hit a record high last week, but rising inflation, interest rate hikes, and AI stock volatility could trigger a correction. The index trades at a Shiller CAPE ratio of 41.8, its second-highest ever behind the dot-com peak in 2000. Two AI-linked stocks could be buys if the market falls. Cohu, which supplies chip testing equipment to Taiwan Semiconductor Manufacturing, Intel, and Samsung, is expected to grow revenue 35% to $612 million in 2026. Its stock is up 180% this year, with a forward price-to-earnings ratio of 34.5. Upstart Holdings uses AI to assess borrowers. In the second quarter, it approved loans worth $4.2 billion, up 50%, and revenue rose 42% to $364.7 million. Its price-to-sales ratio is 2, against a three-year average of 5.4.

American Banker
Sep 30th, 2026
Upstart Network raises $400 million from consumer loans

Upstart's grade E loans account for 47.1% of the collateral pool, compared with 43.3% in the UPST 2026-3, while the concentration of 60-month loans is also lower.

Yahoo Finance
Sep 30th, 2026
Upstart makes buy list while Adobe and Bandwidth fall short on growth metrics

Software companies have delivered strong returns, with the industry gaining 45.5% over six months, outperforming the S&P 500 by 24.4 percentage points. However, investors should be selective as AI threatens to commoditise many software products. Adobe faces challenges with average billings growth of just 11.9% over the past year and estimated sales growth of 9.4% for the next 12 months, suggesting slowing demand. Its operating margin failed to improve year-over-year. Bandwidth showed weak annual revenue growth of 11.9% over two years and a low gross margin of 37.2% compared to competitors. Its operating margin remained flat. Upstart, an AI-powered lending platform, appears more promising. The company uses over 2,500 data variables and machine learning to help banks assess borrower risk for various loan types.

Yahoo Finance
Sep 16th, 2026
Upstart poised for growth while Inter Parfums and Payoneer face headwinds

Upstart, an AI-powered lending platform using machine learning to assess borrower risk, stands out as a promising Russell 2000 investment opportunity. The company has seen loan originations surge by 54.3% over the past year, with revenue expected to grow 30.9% next year as it expands into new markets including credit cards. Free cash flow is projected to turn positive next year. Meanwhile, Inter Parfums and Payoneer face challenges. Inter Parfums, which manufactures fragrances under licenses including Kate Spade and Van Cleef & Arpels, shows weakening efficiency with operating margins declining 1.7 percentage points. Its estimated 2% sales growth signals slowing demand. Payoneer, a cross-border payment platform for SMEs, has struggled with profitability despite revenue growth, with earnings per share falling 5.2% annually over two years. Its 7.9% return on equity reflects difficulties finding profitable growth opportunities.