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Fraud Risk Analyst Jobs (NOW HIRING)

Make timely decisions to release, restrict, return, or escalate transactions based on fraud risk ... Fraud Analyst * Fraud Operations Specialist * Electronic Fraud Specialist * Deposit Operations ...

Experience with fraud strategy optimization , challenger testing, or decision policy design * Familiarity with entity resolution, graph/network analytics , or customercentric risk frameworks

Fraud Risk Analytics Manager

Irving, TX · Hybrid

$106K - $130K/yr

Experience with fraud strategy optimization , challenger testing, or decision policy design * Familiarity with entity resolution, graph/network analytics , or customercentric risk frameworks

Sr Fraud Analyst

San Jose, CA · On-site

$140K - $165K/yr

Partner closely with Product, Risk, Operations, and Engineering stakeholders to solve complex ... Fraud/risk analytics * Transaction analytics * Hands-on expertise in SQL is required; Python ...

Fraud Risk Analytics Manager

Irving, TX · Hybrid

$106K - $130K/yr

Experience with fraud strategy optimization , challenger testing, or decision policy design * Familiarity with entity resolution, graph/network analytics , or customercentric risk frameworks

Fraud Risk Analytics Manager

Irving, TX · Hybrid

$106K - $130K/yr

Experience with fraud strategy optimization , challenger testing, or decision policy design * Familiarity with entity resolution, graph/network analytics , or customercentric risk frameworks

Experience with fraud strategy optimization , challenger testing, or decision policy design * Familiarity with entity resolution, graph/network analytics , or customercentric risk frameworks

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Fraud Risk Analyst information

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How much do fraud risk analyst jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for fraud risk analyst in the United States is $43.31, according to ZipRecruiter salary data. Most workers in this role earn between $31.49 and $53.12 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a fraud risk analyst, and why are they important?

To thrive as a Fraud Risk Analyst, you typically need strong analytical abilities, attention to detail, and a background in finance, accounting, or a related field. Familiarity with fraud detection software, data analysis tools like SQL or Python, and sometimes certifications such as CFE (Certified Fraud Examiner) are valuable. Excellent problem-solving, critical thinking, and communication skills help analysts effectively investigate suspicious activities and present findings. These skills are crucial for identifying and mitigating fraud risks, protecting organizational assets, and ensuring regulatory compliance.

What does a fraud risk analyst do?

A Fraud Risk Analyst is responsible for identifying, assessing, and mitigating risks related to fraudulent activities within an organization. They analyze transactions, monitor patterns, and use various tools and techniques to detect potential fraud. Their work helps protect the company from financial losses and ensures compliance with relevant laws and regulations. They may also recommend improvements to internal controls and work closely with other departments to develop anti-fraud strategies.

How much does a fraud risk analyst get paid?

The average salary for a fraud risk analyst typically ranges from $60,000 to $90,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced analysts with certifications can earn higher salaries, often supplemented with bonuses or benefits.

How do you become a fraud risk analyst?

To become a fraud risk analyst, candidates typically need a bachelor's degree in finance, accounting, or a related field. Relevant skills include data analysis, knowledge of fraud detection tools, and understanding of financial regulations; certifications like Certified Fraud Examiner (CFE) can enhance prospects.

What are some common challenges faced by fraud risk analysts in a rapidly evolving digital landscape?

Fraud Risk Analysts often face the challenge of keeping up with increasingly sophisticated fraud schemes and rapidly changing technologies. Staying ahead requires continuous learning, adapting to new tools, and proactively identifying emerging risks. Collaboration with IT, data science, and compliance teams is essential to implement effective controls and respond quickly to potential threats. Additionally, balancing thorough investigations with the need for efficient customer experiences can be demanding, making strong analytical and communication skills vital.
More about Fraud Risk Analyst jobs
What cities are hiring for Fraud Risk Analyst jobs? Cities with the most Fraud Risk Analyst job openings:
What are the most commonly searched types of Fraud Risk Analyst jobs? The most popular types of Fraud Risk Analyst jobs are:
What states have the most Fraud Risk Analyst jobs? States with the most job openings for Fraud Risk Analyst jobs include:
Infographic showing various Fraud Risk Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 8% Part Time, and 3% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $90,079 per year, or $43.3 per hour.

Staff Fraud and Risk Analyst - Neobanking

Intuit

Mountain View, CA

$168K - $228K/yr

Full-time

Re-posted 21 days ago


Intuit rating

8.4

Company rating: 8.4 out of 10

Based on 91 frontline employees who took The Breakroom Quiz

87th of 242 rated software companies


Job description

Overview

Intuit is a global platform company that is on a mission to power prosperity worldwide for consumers, small businesses and the self-employed. Across our four leading brands – Turbo Tax, Credit Karma, QuickBooks, and Mailchimp – Intuit serves over 100M customers and is one of the few companies in the world to have both a thriving consumer and small business ecosystem. Intuit is known for its innovation track record, customer centricity, and its consistent recognition as a top place to work.


As part of our commitment to preventing fraud across all consumer lending products, we are expanding our Fraud Policy team, which utilizes cutting-edge AI technology to detect and prevent fraud while minimizing impact on good customers. As a Staff Fraud and Risk Analyst, you will collaborate with Risk Operations, Data Science, Product, Engineering and Compliance teams to design and implement fraud mitigation risk strategies. If you're passionate about solving real customer problems through decision science and analytics, we welcome you to join our talented team. 


Responsibilities

This role will involve developing fraud risk policies for our innovative consumer lending and banking products, with a focus on fraud detection and prevention for new money movement products and features. You will create end-to-end risk policies and drive alignment with cross-functional stakeholders. Additionally, you will manage fraud risk aspects of business initiatives and respond to fraud-related events and demands. Expertise in fraud risk, financial analytics, and innovative risk strategies is required to enable Intuit's growth, expansion, profitability, and trust-enabled consumer experiences.


  • Use advanced analytical techniques to mine massive scale account and transactional data to build/optimize fraud risk strategies/policies, and translate into actionable business plans

  • Lead the full cycle of risk strategy/policy work, including identify opportunities and action plan, develop and test policy, launch policy to production and monitor the performance

  • Build subject matter expertise in different types of risks among money movement offerings to optimize the balance between risk mitigation and growth in the Intuit ecosystem

  • Team up with our data scientist, risk operations, product, data engineering, analytics teams closely to drive customer segmentations, develop innovative risk strategies, and perform portfolio analyses

  • Test into and recommend 3rd party data providers to solve individual stolen identity, ATO and other types of exposure risk

  • Design, implement, and monitor testing to explore new methodologies and estimate key metrics for our risk strategies

  • Must have good judgement with the ability to think creatively and strategically


Qualifications

  • Strong business acumen and exceptional analytical ability, with 5+ years of relevant experience and bachelors degree in quantitative fields such as Statistics, Mathematics, Finance, Data Science; or MS/PhD with 2+ years of relevant working experience.

  • Preferred experience with Fintech, NeoBanking, Crypto, or Money Movement space.

  • Working knowledge of the fundamentals of risk policy for consumer loans and line of credit including fraud detection and identity checks

  • Demonstrated experience in designing experiments and using data-driven insights to solve business problems. 

  • Proficient in statistical analysis tools like SQL, Excel, Python, R, and data visualization tools. Familiarity with big data technologies such as Hive, Hadoop, and related concepts preferred.

  • Polished partnership and communication skills, with the ability to interact cross-functionally with both business and technical partners. You tell stories with data to influence stakeholders and build consensus for plans of action.

  • You thrive in a fast-paced environment, and are responsive and decisive during periods of peak fraud activity.

  • Passion for analyzing data and an insatiable curiosity to understand complex business issues and proactively looking for business opportunities and drive new innovations


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Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will 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). 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:
New York $168,500 - $228,000
Mountain View, CA $176,500- $238,500

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