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Fraud Data Analyst Jobs in Utah (NOW HIRING)

Join us in using data, bold thinking, and a commitment to innovation to help clear the way for ... The Fraud Analyst should work closely with the Manager of Fraud to detect and mitigate new fraud ...

Join us in using data, bold thinking, and a commitment to innovation to help clear the way for ... The Fraud Analyst should work closely with the Manager of Fraud to detect and mitigate new fraud ...

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

Senior Fraud Analyst - Remote

Draper, UT · On-site

$72.80 - $130/hr

Analyze data for trends and recommend strategies to reduce risk and fraud * Represent the Fraud Team on new products, projects and programs to help ensure fraud risks and controls are considered ...

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 ...

Partner with Policy, Data Science, and Engineering to improve tooling to scale internal operations ... Excellent interpersonal, analytical, and problem-solving skills with the ability to manage ...

Partner with Policy, Data Science, and Engineering to improve tooling to scale internal operations ... Excellent interpersonal, analytical, and problem-solving skills with the ability to manage ...

Data Analysis and Exploration: Conduct data exploration and preliminary analysis to support the ... Beware of recruitment fraud . All official correspondence will occur through Weave branded email.

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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 Aug 23, 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 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 are the key skills and qualifications needed to thrive as a fraud data analyst, 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 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:

What job categories do people searching Fraud Data Analyst jobs in Utah look for?

The top searched job categories for Fraud Data Analyst jobs in Utah are:

Infographic showing various Fraud Data Analyst job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $75,233 per year, or $36.2 per hour.

Full-time

Posted 12 days ago


LendingClub rating

6.8

Company rating: 6.8 out of 10

Based on 5 frontline employees who took The Breakroom Quiz


Job description

Current Employees of Happen Bank: Please apply via your internal Workday Account

Happen Bank(formerly LendingClub)is built around a simple purpose: to clear the way to help people turn intention into action, and action intofinancial progress. That means offering focused products, a frictionless mobile-first experience, and clear terms with no gotchas. Respect and fairness is part of our DNA, and that ideal shapes how we work, how we treat each other, and how we invest in our employees and our community. Join us in using data, bold thinking, and a commitment to innovation to help clear the way for millions of Americans to achieve more.


About the RoleReporting to the Sr Director, Purchase Finance & Deposit Fraud Operations, the Purchase Finance Fraud Analyst will provide fraud mitigation support through the utilization of analytic tools for fraudulent trend recognition, identifying and preventing potential fraud on customer applications and providers. The Fraud Analyst should work closely with the Manager of Fraud to detect and mitigate new fraud trends, while aligning with outside departments to optimize the fraud controls and communication in place. The analyst will act as a liaison and primary point of contact to law enforcement and other FIs for investigations and inquiries. The utilization of data & trend identification techniques will be key in decision-making aspects of the position.What You'll Do
  • Perform manual reviews and analysis of new account applications and existing customer/provider accounts, identifying and preventing potential fraud
  • Perform alert triage via the Bank's Fraud Detection software(s), utilizing risk scores and trend analysis in the decisioning of alerts. Manage case management for large scale fraud cases
  • Assist Leadership in ongoing identification of high-risk behaviors of the current customer and provider base
  • Assist in the implementation of mitigation strategies (whether technical or procedural) to curb new fraud trends and patterns
  • Work closely with Customer Service, Operations and Compliance teams to optimize policies and controls to improve monitoring and due diligence of transactions, consumers and providers
  • Communicate and collaborate between law enforcement, government agencies and financial institutions to prevent fraud related losses as well as provide criminal action or collections of any account causing the Bank a loss
  • Work closely with other departments in the identification, management and communication of fraud and ID Theft cases
  • Assist with various fraud related duties as needed by the Data Office
  • Perform back-office functions related to research and resolution of fraudulent activity and applicable reporting
  • Support in ongoing bank audits and risk assessments as applicable
About You
  • Bachelor's degree in related field; or equivalent job experience
  • 2+ years prior banking experience, preferably in an investigative and analytical role or exposed to fraud-related behavior in the Consumer and Business segments
  • Knowledge of third-party online fraud analytic tools such as Verafin and/or Alloy
  • Proficiency in online and internal application research across applicable systems
  • Proficiency in reporting and analytical tools utilized by the Bank's fraud team and Data Office

Work Location
Lehi
We are currently working a hybrid schedule and our teams are in-office Tuesdays, Wednesdays, and Thursdays.
Time Zone Requirements
Primarily MT
#LI-Hybrid
#LI-SS1


Happen Bank is an equal opportunity employer and dedicated to diversity, equity, and inclusion in the workplace. We do not discriminate on the basis of race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), gender, gender identity, gender expression, sexual orientation, age, marital status, veteran status, disability status, political views or activity, or other applicable legally protected characteristics. We believe that a variety of perspectives will make our teams and business stronger as we work together to transform the traditional banking system.

We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at interviewaccommodations@happen.com.


Notice on AI Tool Use

For select roles and locations, candidate interviews may be recorded, transcribed and summarized by tools such as artificial intelligence (AI) to assist our hiring managers with the application process.


You will have the opportunity to opt out of recording, transcription, and summarization prior to any scheduled interviews. We will not discriminate against you if you choose to opt out.


During the interview, we will collect the following categories of personal information from or about you: contact information, identifiers, professional and employment-related information, sensory information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment.

We will only share your interview, transcription, or summary with persons whose expertise or technology is necessary to process your application, evaluate your fitness for a position, and administer or support the tool. We will not sell your personal information or disclose it to any third party for their marketing purposes. For more information about how we will handle your personal information, please refer to our Privacy Disclosure.


We will delete any recording of your interview promptly but in no event later than 30 days after making a hiring decision.


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