Project Analyst Jobs at Intuit with Visa Sponsorship
Project Analyst jobs at Intuit sit at the intersection of financial technology, product operations, and cross-functional delivery. Intuit has a consistent record of sponsoring work visas for this function, supporting candidates across multiple visa categories from initial OPT through long-term pathways.
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Intuit QuickBooks is leading the charge in revolutionizing financial services for small and mid-market businesses through its money movement platform. Lending — Term Loan (TL), Line of Credit (LOC), and Revenue Based Financing (RBF) — is one of the fastest-growing pillars of that platform, extending credit to millions of small businesses that traditional lenders overlook. Growing responsibly at that scale requires world-class fraud strategy.
The Lending Fraud Policy team combines cutting-edge AI, cross-product signal intelligence, and deep credit-risk expertise to detect and prevent fraud across the full lending lifecycle — from onboarding, through underwriting, disbursement, servicing, and recovery — while enabling frictionless experiences for good customers. As a Senior Staff Fraud & Risk Analyst, you will own end-to-end lending fraud strategy across Term Loan (TL), Line of Credit (LOC), and Revenue Based Financing (RBF) — the policy, detection systems, and operational governance that determine who Intuit lends to, on what terms, and how we defend the book from stolen/synthetic-identity fraud (FRAPP), account takeover (ATO), first-party fraud, and bust-out rings. You will collaborate with Product, Engineering, Data Science, Finance, Legal/LCPO, Risk Operations, and Internal Audit to design and continuously improve the risk experience.
If you are passionate about solving real customer problems through decision science and analytics — and building the fraud strategy that lets Intuit safely extend credit to businesses no one else will — we welcome you to join our talented team.
Responsibilities
- Own end-to-end lending fraud strategy across Term Loan (TL), Line of Credit (LOC), and Revenue Based Financing (RBF) — set policy across the full lifecycle: onboarding eligibility, application underwriting, line/loan issuance, draw-level risk assessment (LOC and RBF), funding speed etc.
- Design and continuously tune detection systems for stolen/synthetic identity (FRAPP), account takeover (ATO), first-party fraud, and bust-out rings across all lending products.
- Lead complex forensic investigations of sophisticated multi-product lending fraud rings; drive same-day containment and translate ring learnings into permanent policy.
- Partner with Data Science on ML detection models, risk-based decisioning, and AI Agent automation for case review and policy execution.
- Set risk strategy for new lending initiatives — including NTTF (New-to-the-Franchise) Line of Credit (LOC) — balancing revenue enablement against fraud loss and customer experience.
- Partner with Finance on loss forecasting, loss reserves, and unit economics to ensure lending decisions are both risk-informed and revenue-aware.
- Partner with Risk Operations on case review workflows, fraud-hold enforcement at money-movement, and portfolio cleanup after ring detection.
- Partner with Legal/LCPO and Compliance on regulatory risk — Reg B/Z, ECOA, UDAAP, adverse action, KYB/KYC, sanctions (OFAC).
- Champion AI and automation — identify opportunities to apply AI-powered tooling and automation to accelerate risk strategy work, reduce manual toil, and improve decision quality and consistency at scale.
- Communicate complex fraud strategy decisions clearly to senior leadership, financial partners, and regulators.
Qualifications
- MS/PhD in a quantitative field (Statistics, Mathematics, Economics, Operations Research, Finance, or related) with 7+ years in fraud analytics, credit risk, or data science
- Fintech / Lending experience strongly preferred — hands-on ownership of fraud strategy for a lending product
- Working knowledge of the full risk-control stack — fraud detection, underwriting, loss forecasting, disputes/collections and loss reserves.
- Demonstrated experience in ML-based detection and statistical modeling — scorecard development, anomaly detection, clustering, feature engineering, model monitoring.
- Proficient in SQL and Python and comfortable working in Databricks, Hive, Hadoop, and modern data platforms; strong data visualization skills.
- Active champion for AI and automation adoption — you seek opportunities to apply AI-powered tooling and automation to risk strategy work.
- Polished partnership and communication skills — able to interact cross-functionally with business and technical partners; articulate complex fraud strategy trade-offs to senior leadership and non-technical stakeholders; influence decision makers, negotiate win-win outcomes, and drive prioritization across teams.
- Demonstrated ability to manage complex, cross-functional projects and deliver in a fast-paced, ambiguous environment; responsive during high-pressure incidents.
- Experience with third-party fraud/identity vendors
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs. Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.
The expected base pay range for this position is:
Mountain View $199,500 - $270,000
Overview
Intuit QuickBooks is leading the charge in revolutionizing financial services for small and mid-market businesses through its money movement platform. Lending — Term Loan (TL), Line of Credit (LOC), and Revenue Based Financing (RBF) — is one of the fastest-growing pillars of that platform, extending credit to millions of small businesses that traditional lenders overlook. Growing responsibly at that scale requires world-class fraud strategy.
The Lending Fraud Policy team combines cutting-edge AI, cross-product signal intelligence, and deep credit-risk expertise to detect and prevent fraud across the full lending lifecycle — from onboarding, through underwriting, disbursement, servicing, and recovery — while enabling frictionless experiences for good customers. As a Senior Staff Fraud & Risk Analyst, you will own end-to-end lending fraud strategy across Term Loan (TL), Line of Credit (LOC), and Revenue Based Financing (RBF) — the policy, detection systems, and operational governance that determine who Intuit lends to, on what terms, and how we defend the book from stolen/synthetic-identity fraud (FRAPP), account takeover (ATO), first-party fraud, and bust-out rings. You will collaborate with Product, Engineering, Data Science, Finance, Legal/LCPO, Risk Operations, and Internal Audit to design and continuously improve the risk experience.
If you are passionate about solving real customer problems through decision science and analytics — and building the fraud strategy that lets Intuit safely extend credit to businesses no one else will — we welcome you to join our talented team.
Responsibilities
- Own end-to-end lending fraud strategy across Term Loan (TL), Line of Credit (LOC), and Revenue Based Financing (RBF) — set policy across the full lifecycle: onboarding eligibility, application underwriting, line/loan issuance, draw-level risk assessment (LOC and RBF), funding speed etc.
- Design and continuously tune detection systems for stolen/synthetic identity (FRAPP), account takeover (ATO), first-party fraud, and bust-out rings across all lending products.
- Lead complex forensic investigations of sophisticated multi-product lending fraud rings; drive same-day containment and translate ring learnings into permanent policy.
- Partner with Data Science on ML detection models, risk-based decisioning, and AI Agent automation for case review and policy execution.
- Set risk strategy for new lending initiatives — including NTTF (New-to-the-Franchise) Line of Credit (LOC) — balancing revenue enablement against fraud loss and customer experience.
- Partner with Finance on loss forecasting, loss reserves, and unit economics to ensure lending decisions are both risk-informed and revenue-aware.
- Partner with Risk Operations on case review workflows, fraud-hold enforcement at money-movement, and portfolio cleanup after ring detection.
- Partner with Legal/LCPO and Compliance on regulatory risk — Reg B/Z, ECOA, UDAAP, adverse action, KYB/KYC, sanctions (OFAC).
- Champion AI and automation — identify opportunities to apply AI-powered tooling and automation to accelerate risk strategy work, reduce manual toil, and improve decision quality and consistency at scale.
- Communicate complex fraud strategy decisions clearly to senior leadership, financial partners, and regulators.
Qualifications
- MS/PhD in a quantitative field (Statistics, Mathematics, Economics, Operations Research, Finance, or related) with 7+ years in fraud analytics, credit risk, or data science
- Fintech / Lending experience strongly preferred — hands-on ownership of fraud strategy for a lending product
- Working knowledge of the full risk-control stack — fraud detection, underwriting, loss forecasting, disputes/collections and loss reserves.
- Demonstrated experience in ML-based detection and statistical modeling — scorecard development, anomaly detection, clustering, feature engineering, model monitoring.
- Proficient in SQL and Python and comfortable working in Databricks, Hive, Hadoop, and modern data platforms; strong data visualization skills.
- Active champion for AI and automation adoption — you seek opportunities to apply AI-powered tooling and automation to risk strategy work.
- Polished partnership and communication skills — able to interact cross-functionally with business and technical partners; articulate complex fraud strategy trade-offs to senior leadership and non-technical stakeholders; influence decision makers, negotiate win-win outcomes, and drive prioritization across teams.
- Demonstrated ability to manage complex, cross-functional projects and deliver in a fast-paced, ambiguous environment; responsive during high-pressure incidents.
- Experience with third-party fraud/identity vendors
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs. Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.
The expected base pay range for this position is:
Mountain View $199,500 - $270,000
See all 101+ Project Analyst Jobs at Intuit
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Get Access To All JobsTips for Finding Project Analyst Jobs at Intuit
Frame your credentials around Intuit's product taxonomy
Intuit organizes its analyst work around products like TurboTax, QuickBooks, and Credit Karma. Tailor your resume and portfolio to show experience with product analytics, financial data workflows, or agile delivery in consumer software environments before you apply.
Target Intuit's early-career pipeline programs
Intuit actively recruits Project Analysts through university partnerships and structured rotational programs. Applying through these channels increases your visibility for OPT-eligible roles, since hiring timelines are planned well in advance of USCIS-mandated work authorization deadlines.
Clarify your visa category during the recruiter screen
Intuit sponsors multiple visa types, so tell your recruiter exactly which status you hold and what your authorization timeline looks like. Conflating OPT STEM extension eligibility with standard OPT can cause delays when the team starts internal approval workflows.
Use Migrate Mate to filter open Project Analyst roles by visa type
Not every Intuit Project Analyst listing is tied to an active sponsorship budget. Use Migrate Mate to browse roles filtered by the specific visa category you need, so you prioritize positions where sponsorship is already on the table.
Prepare for the H-1B cap timeline before your offer stage
If you need H-1B sponsorship, the annual cap registration window opens in March. Confirm your expected offer date against that calendar early. Missing the registration window by even a few weeks can push your start date back a full year.
Understand how Intuit structures the LCA before your I-129 filing
DOL requires Intuit to certify a Labor Condition Application before USCIS can approve your H-1B petition. Ask your HR contact which office location the LCA will be filed under, since prevailing wage levels vary significantly between Intuit's Mountain View, San Diego, and New York sites.
Frequently Asked Questions
Does Intuit sponsor H-1B visas for Project Analysts?
Yes, Intuit sponsors H-1B visas for Project Analyst roles. The process involves Intuit filing a Labor Condition Application with the DOL and then an I-129 petition with USCIS on your behalf. If you need cap-subject H-1B sponsorship, your start date depends on the annual March registration window, so confirm your hiring timeline against that schedule early in the interview process.
How do I apply for Project Analyst jobs at Intuit?
Applications go through Intuit's careers portal, but not every listing reflects active sponsorship availability. The most effective approach is to filter for Project Analyst roles that match your visa category before applying, so you do not advance through multiple interview rounds only to learn sponsorship is unavailable. Migrate Mate lets you browse current Intuit openings filtered by the visa type you need.
Which visa types does Intuit commonly use for Project Analyst roles?
Intuit sponsors a range of visa categories for this function, including H-1B, E-3 visa for Australian citizens, TN visa for Canadian and Mexican nationals, F-1 OPT and CPT for students, J-1 visa, and immigrant pathways including EB-2 and EB-3 Green Card sponsorship. The right category depends on your nationality, education level, and where you are in your career. Your recruiter should clarify which categories are available for the specific role you are targeting.
What qualifications does Intuit expect for Project Analyst roles?
Intuit typically looks for a bachelor's degree in a relevant field such as business, finance, computer science, or information systems. Beyond the degree, strong candidates demonstrate experience with data analysis tools, cross-functional project coordination, and familiarity with agile or product-led workflows. Roles supporting financial technology products often reward candidates who can connect analytical work directly to user or revenue outcomes.
How do I manage my visa timeline during the Intuit hiring process?
The biggest risk is a mismatch between your work authorization expiration and Intuit's internal approval lead times. If you are on OPT, verify your end date and whether you qualify for the 24-month STEM extension before your recruiter submits a sponsorship request. For H-1B, USCIS premium processing can reduce adjudication to around 15 business days, which helps when offer and start dates are tight. Communicate your exact authorization window to HR as early as possible.