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Staff Fraud Risk Analyst, Credit Karma

Intuit

MOUNTAIN VIEW, CAJob$163–221K/yrSeen 3 days agoSeen in employer's feed 3 days ago

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At a glance

Compensation
$163–221K/yr
Location
MOUNTAIN VIEW, CA
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

Intuit’s Trust and Safety team seeks a Staff Fraud Risk Analyst to protect Credit Karma customers, partners, and the business from fraud and abuse. The analyst will investigate fraud across registration, login, account recovery, and Marketplace, using data and AI to identify risks and shape policy and product decisions. The role partners across product, engineering, data science, and investigations, and mentors analysts while advancing scalable fraud controls and analytics.

Skills & qualifications

RequiredNice to have

Skills

Advanced SQLPythonBigQueryDatabricksFraud Pattern DetectionStatistical AnalysisAI/GenAIFraud KPI AnalysisData VisualizationTableauLookerExcelGoogle SheetsJudgmentOwnershipCommunicationInfluencingAttention to DetailProactivityAccountabilityTeamworkEmpathy

Qualifications

8+ Years Relevant ExperienceFraud Prevention ExperienceRisk ExperienceIdentity Fraud ExperienceAuthentication Fraud ExperienceAccount Lifecycle Fraud ExperienceMarketplace Fraud ExperienceLead Fraud ExperiencePartner Fraud ExperienceBachelor's in Quantitative Field or Equivalent ExperienceMaster's Degree

Full job description

Overview

Intuit’s Trust and Safety team harnesses the power of data, technology, and people to protect our customers, partners, and business from fraud and abuse. The team is looking for a Staff Fraud Risk Analyst who is passionate about data and excited to partner with product managers, engineers, and data scientists to deliver fresh insights and intelligent solutions to fight fraud. This individual will build a deep understanding of Credit Karma’s perimeter (registration, login, and account recovery) and Marketplace, and apply industry best practices and cutting-edge AI to solve large-scale fraud challenges like identity theft, account takeover, fake account creation, and Marketplace abuse.

Responsibilities

  • Lead multi-quarter initiatives to understand fraudulent behavior across the Credit Karma perimeter and Marketplace, identify risk trends in the data, and turn them into policy and product recommendations.

  • Become a subject matter expert for Credit Karma perimeter and Marketplace fraud, and own the fraud and risk case for launches, experiments, and roadmap tradeoffs.

  • Make fast, well-reasoned calls on high-risk cases, and own the outcome through resolution, including post-incident learnings.

  • Partner with product, engineering, data science, and investigations to build intelligent, scalable controls that balance fraud loss against member experience.

  • Identify gaps in metrics and data, and own scalable fixes. Define and track KPIs such as fraud rate, precision and recall, customer insult rate, and ATO and fake-account rates. Build dashboards that show the impact of fraud and of the policies meant to stop it.

  • Use AI and GenAI tools to speed up analysis, find new fraud patterns, and automate manual fraud workflows.

  • Advocate for curated, standardized, centralized fraud datasets for Intuit-wide analysis.

  • Use SQL, Python, Databricks, Tableau, and spreadsheets to analyze large datasets and guide policy decisions.

  • Document and explain complex analyses and processes to leadership, and build alignment across technical and non-technical teams.

  • Mentor and coach analysts, and raise the team's technical and analytical bar.

Qualifications

  • 8+ years of relevant experience in fraud prevention, risk, or a similar analytical role, with strong business acumen.

  • Advanced SQL and Python skills for profiling, segmentation, and aggregation on large datasets (BigQuery/Databricks preferred).

  • Proven ability to find fraud patterns and risk in large datasets, and to use statistical analysis to justify policy recommendations.

  • Experience in identity, authentication, or account-lifecycle fraud (ATO, account creation abuse, recovery abuse) and/or marketplace, lead, or partner fraud preferred.

  • Hands-on experience applying AI/GenAI to fraud detection or analytics workflows.

  • Experience with fraud KPIs (precision, recall, chargeback, customer insult rate) and with data visualization tools (Tableau, Looker, Excel, GSheets).

  • Decisive judgment and ownership of outcomes in fast-moving cases, with a fraud and risk mindset and deep familiarity with the product surface being protected.

  • Outstanding communication and influencing skills, with a record of driving decisions across org boundaries.

  • Detail-oriented, proactive, accountable, team player, and empathetic.

  • Bachelor's degree in a quantitative field or equivalent experience; Master's degree preferred.

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 (see more about our compensation and benefits at Intuit®: Careers | Benefits (https://www.intuit.com/careers/benefits/full-time-employees/) ). 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:

San Diego $163,000 - $221,000

EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.

How this job compares

Set against the 808 open Risk Analyst jobs on Olive Jobs, counted November 4, 2026.

Pay
  • This posting$163–221K/yr
  • California median$128–178K/yr37 salary ranges
  • US median$91–130K/yr541 salary ranges

This range's midpoint, $192K, is 33% above the California median midpoint ($144K) — in the middle half of Risk Analyst salary ranges in California.

Openings
Olive Jobs lists 45 open Risk Analyst jobs in California and 808 across the US. 9% of them nationwide are listed as remote or flexible.
Hiring the most in California
Experience
This posting asks for at least 8 years of experience — more than three in four Risk Analyst postings that state a minimum ask for (median 4 years, across 639 postings).
Education
265 of the 808 open Risk Analyst jobs (33%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 4, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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