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Fraud Data Analyst Jobs in Utah (NOW HIRING)

Fraud Analyst

Lehi, UT ยท On-site

Analyze high-value transactions for potential fraud, employing keen analytical skills to identify ... You have previous experience creating and running data queries. * You have experience with Stripe

This role analyzes data to identify suspicious patterns to mitigates financial loss in order to ... The Fraud Analyst conducts independent investigations, performs interviews, and communicates ...

Analyzing supporting documentation, transaction data, and case trends to distinguish error, misuse ... Certified Fraud Examiner certification The wage range for this role takes into account the wide ...

Fraud Operations, under the Cyber Data Risk & Resilience Division, plays a key role in supporting ... Data analytic skill is a plus. * Ability to work under pressure in handling time critical payment ...

Fraud Operations, under the Cyber Data Risk & Resilience Division, plays a key role in supporting ... Data analytic skill is a plus. * Ability to work under pressure in handling time critical payment ...

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Fraud Data Analyst information

See Utah salary details

$31K

$75.2K

$123.8K

How much do fraud data analyst jobs pay per year?

As of Jul 31, 2026, the average yearly pay for fraud data analyst in Utah is $75,233.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,900.00 and $88,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Fraud Data Analyst position, and why are they important?

A Fraud Data Analyst should have a strong background in data analytics, statistics, and experience with financial or transactional data, often holding a degree in mathematics, statistics, computer science, or a related field. Familiarity with tools such as SQL, Python, R, anti-fraud software platforms, and certifications like Certified Fraud Examiner (CFE) are commonly expected. Analytical thinking, attention to detail, and effective communication are vital soft skills for interpreting data and presenting findings to stakeholders. Together, these skills ensure accurate identification and prevention of fraud, helping organizations mitigate risks and maintain trust.

What does a Fraud Data Analyst do?

A Fraud Data Analyst detects and prevents fraudulent activities by analyzing data patterns, identifying suspicious transactions, and developing fraud detection models. They use statistical techniques, machine learning, and data visualization tools to uncover fraud trends and mitigate risks. Their role involves collaborating with fraud prevention teams, financial analysts, and law enforcement to enhance security measures. Additionally, they create reports and dashboards to monitor fraud metrics and improve fraud detection strategies.

What does a typical day look like for a Fraud Data Analyst?

A typical day for a Fraud Data Analyst involves analyzing large sets of financial or transactional data to detect unusual patterns or trends that might indicate fraudulent activity. You may collaborate closely with investigation teams, compliance officers, and IT professionals to refine detection models and respond quickly to potential threats. Weekly responsibilities also include creating detailed reports, documenting findings, and recommending improvements to internal controls or monitoring processes. This dynamic role often requires balancing independent analytical work with cross-functional teamwork to effectively combat fraud.

What are popular job titles related to Fraud Data Analyst jobs in Utah? For Fraud Data Analyst jobs in Utah, the most frequently searched job titles are:
Infographic showing various Fraud Data Analyst job openings in Utah as of July 2026, with employment types broken down into 69% Full Time, 7% Part Time, and 24% Contract. Highlights an 61% Physical, 5% Hybrid, and 34% Remote job distribution, with an average salary of $75,233 per year, or $36.2 per hour.

Senior Data Analyst - Fraud Strategy & Operations

Raisin

Lehi, UT โ€ข Hybrid

$80K - $101K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 9 days ago


Job description

Team

The Risk and Fraud Operations team plays a central role in safeguarding Raisin's business by monitoring, assessing, and mitigating risks across all operational areas. We are responsible for managing fraud prevention, detection and mitigation, investigations and recoveries, monitoring for financial crime events (AML, KYC) and implementing effective risk controls to support the company's growth. Our work bridges business, compliance, and technology-analyzing data, processes, and transactions to identify potential threats while also enabling smooth and secure customer experiences.
We collaborate closely with cross-functional teams (Product, Compliance, Customer Service, and Engineering) to design and execute risk and fraud management frameworks, enhance operational efficiency, and maintain a strong culture of accountability.
Your Responsibilities
As the Senior Data Analyst - Fraud Strategy & Operations, you will be the driving force behind our fraud defense system. We are looking for a proven analytical mind from the financial services sector who can challenge our current thinking, build predictive fraud models, redesign existing fraud models, framework and processes. Using SQL, Python/R Ecosystems, Feature Engineering, you will dissect fraud trends, build predictive models from scratch, and implement sharp, real-time rules to prevent and detect fraud across our payment rails.ย 
This role reports to the Head of Risk and Fraud Operations and requires a highly capable and entrepreneurial individual who can balance deep technical hands-on execution with high-level strategy.

  • Advanced Fraud Strategy & Analytics
    - Uncover Trends: Conduct complex data analysis using SQL, Python and Feature Engineering to proactively identify emerging fraud patterns and system vulnerabilities before they impact the platform.
    - Deploy Fraud Rules: Design, test, and implement robust fraud prevention rules that successfully catch bad actors while maintaining a seamless experience for real customers.
    - Drive Strategy: Elevate Raisin US's capabilities by introducing industry best practices, new methodologies, and innovative fraud prevention strategies that we aren't using today.
    - KPIs & Dashboards: Build out data-driven dashboards to track fraud metrics, losses, and mitigation performance, presenting actionable findings directly to leadership.
  • Model Development & Maintenance
    - Build Predictive Models: Design, build, and deploy machine learning and predictive models utilizing Python to detect anomalies across the entire customer journey (onboarding, funding, and money movement).
    - Feature Engineering: Develop model features based on identity, device, behavioral, and transactional data.
    - Cross-Functional Delivery: Partner closely with Product and Engineering to integrate these models into our real-time production pipelines.
  • AML & Financial Crime Collaboration
    - Risk Profiling: Partner with the Compliance team to enhance customer risk profiling, transaction monitoring, and KYC/AML workflows.
    - Design low-friction, custom risk rules for identity verification, account takeover protection, and transaction monitoring.
    - Continuous Back-Testing: Routinely stress-test current rules against changing regulatory standards and evolving financial crime tactics.

Your Profile

  • Financial Services Background: 8+ years of experience in fraud risk management, analytics, or financial crime specifically within fintech, retail banking, or digital payments.
  • Master of Analytics: Exceptional analytical capabilities are your biggest asset. You love diving into raw data to solve complex puzzles.
  • Technical Stack: Highly proficient in SQL and Python for data manipulation, analytics, and building predictive models. Experience building out fraud dashboards is a must.
  • Payment System Domain Expertise: Deep understanding of Deposits and ACH is required; direct experience with modern instant payment systems like RTP and FedNow is highly preferred.
  • Rule & Model Builder: Proven track record of designing custom fraud rules and deploying machine learning or statistical models in a live environment.

Join our mission, join our team - and grow with us!

At Raisin, we care about each other and it is one of our top priorities to foster an open and caring environment in which everyone feels welcome and comfortable. Our culture is strongly driven by our ambitious team, which connects more than 75 different nationalities.

As part of our team, you will benefit from:

  • Flexible working hours and up to 28 days PTO accrued from your first month, plus 13 public holidays.
  • Employee Development Budget of $2,200 and 4 full training days per year.
  • Company 401k contribution of 5%.
  • Healthcare coverage contribution, including medical, dental and vision.
  • Commuter benefits and flexible working from home policy.
  • Regular team events and yearly Summer and Winter Party.