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Software Engineer Fraud Detection Jobs in Orem, UT

NICE

Senior Software Engineer, Actimize

Sandy, UT · On-site

$116K - $153K/yr

Senior Software Engineer - Fraud Detection Platform About the Role We are looking for a Lead Software Engineer to maintain and evolve the web applications that power our fraud detection platform. The ...

Lendingclub Corporation

Fraud Analyst

Lehi, UT · Hybrid

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 ...

LendingClub Bank

Fraud Analyst

Lehi, UT · On-site

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 ...

JobNimbus

Software Engineer II

Lehi, UT

$91K - $125K/yr

Use AI-driven monitoring and anomaly detection to catch problems before customers do * Mentor new hires and junior engineers * Collaborate across team boundaries rather than staying in your lane

Ring Inc

Senior Director, Software Engineering

Lehi, UT · On-site

$241 - $303/hr

... conversion, and fraud/delinquency risk metrics * Drive CI/CD, observability, and deployment ... the software development lifecycle to improve engineering throughput * Background scaling a ...

Amh

DevSecOps Engineer

Draper, UT · On-site

... and threat detection and ensures consistent security standards across DevOps and software ... engineering tools. Contributes to foundational security operations which includes vulnerability ...

GoodLeap

Senior Director, Software Engineering

Lehi, UT · On-site

$241 - $276/hr

... fraud/delinquency risk metrics Process & Platform Maturity * Drive CI/CD, observability, and ... the software development lifecycle to improve engineering throughput * Background scaling a ...

GoodLeap

Senior Director, Software Engineering

Lehi, UT

$240K - $303K/yr

... fraud/delinquency risk metrics Process & Platform Maturity * Drive CI/CD, observability, and ... the software development lifecycle to improve engineering throughput * Background scaling a ...

Bread Financial

Senior Staff Agentic AI Engineer

Draper, UT · On-site +1

$99K - $134K/yr

Job Summary The Senior Staff Software Engineer - Agentic AI will design and deliver core agent ... detection, and decisioning. The role includes implementing deterministic paths where needed ...

LVT

Sensor Integration Engineer II

American Fork, UT

$93K - $125K/yr

Product & Software Excellence: We were named one of The Software Report's Top 100 Software ... quality, detection range, low-light and IR night vision performance--and prove it holds in rain ...

LVT

Sensor Integration Engineer II

American Fork, UT · On-site

$93K - $125K/yr

Product & Software Excellence: We were named one of The Software Report's Top 100 Software ... quality, detection range, low-light and IR night vision performance-and prove it holds in rain ...

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Showing results 1-20

All JobsSoftware Engineer Fraud Detection JobsSoftware Engineer Fraud Detection Jobs in Orem, UT

Software Engineer Fraud Detection information

See Orem, UT salary details

$20.9K

$91.2K

$164.3K

How much do software engineer fraud detection jobs pay per year?

As of Aug 22, 2026, the average yearly pay for software engineer fraud detection in Orem, UT is $91,165.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,500.00 and $104,300.00 per year, depending on experience, location, and employer.

What does a software engineer fraud detection do?

A Software Engineer in Fraud Detection designs and develops systems to identify and prevent fraudulent activities within digital platforms, such as banking or e-commerce environments. They build algorithms to analyze user behavior, detect anomalies, and flag suspicious transactions in real time. Their work often involves machine learning, big data analysis, and close collaboration with data scientists and security teams to continuously improve fraud detection accuracy. These engineers play a key role in protecting businesses and customers from financial loss and cybercrime.

How does a software engineer fraud detection typically collaborate with data scientists and analysts to identify fraudulent activity?

Software Engineers in Fraud Detection work closely with data scientists and analysts to build, refine, and deploy systems that detect and prevent fraud. While data scientists may develop models and identify patterns from large datasets, engineers are responsible for integrating these models into scalable, real-time systems within the company's technology stack. Regular communication and joint problem-solving are essential, as engineers must understand the logic behind models and analysts' findings to ensure accurate implementation and continuous improvement. This collaborative environment helps create robust fraud detection mechanisms that adapt to evolving threats.

What are the key skills and qualifications needed to thrive as a software engineer fraud detection, and why are they important?

To thrive as a Software Engineer in Fraud Detection, strong programming skills (such as Python, Java, or Scala), a solid understanding of algorithms, data structures, and experience with machine learning or statistical analysis are generally required, often supported by a degree in computer science or a related field. Familiarity with big data platforms (like Hadoop or Spark), real-time analytics systems, and fraud detection tools or frameworks is typically expected. Analytical thinking, problem-solving abilities, and effective communication are key soft skills that differentiate top performers in this field. These skills are crucial for developing robust systems that can quickly identify and prevent fraudulent activities, protecting both users and organizations.

What is the difference between Software Engineer Fraud Detection vs Data Scientist Fraud Detection?

AspectSoftware Engineer Fraud DetectionData Scientist Fraud Detection
Required CredentialsBachelor's in CS or related field, programming skillsBachelor's or higher in CS, Statistics, or Data Science
Work EnvironmentDevelops fraud detection systems, writes code, implements algorithmsAnalyzes data, builds models, interprets results
Employer & Industry UsageFinancial institutions, fintech, e-commerceFinancial services, tech companies, insurance
Common Search & ComparisonFocuses on software development for fraud detectionFocuses on data analysis and modeling for fraud detection

While both roles work in fraud detection, Software Engineer Fraud Detection primarily develops and maintains detection systems through coding, whereas Data Scientist Fraud Detection analyzes data and builds models to identify fraudulent activity. Both roles often collaborate but differ in their core focus and skill sets.

What are popular job titles related to Software Engineer Fraud Detection jobs in Orem, UT?

For Software Engineer Fraud Detection jobs in Orem, UT, the most frequently searched job titles are:

What job categories do people searching Software Engineer Fraud Detection jobs in Orem, UT look for?

The top searched job categories for Software Engineer Fraud Detection jobs in Orem, UT are:

What cities near Orem, UT are hiring for Software Engineer Fraud Detection jobs?

Cities near Orem, UT with the most Software Engineer Fraud Detection job openings:

Software Engineer Fraud Detection jobs near you

Senior Software Engineer, Actimize

NICE

Sandy, UT • On-site

$116K - $153K/yr

Full-time

Re-posted 11 days ago

Job description

At NiCE, we don't limit our challenges. We challenge our limits. Always. We're ambitious. We're game changers. And we play to win. We set the highest standards and execute beyond them. And if you're like us, we can offer you the ultimate career opportunity that will light a fire within you.
Senior Software Engineer - Fraud Detection Platform
About the Role
We are looking for a Lead Software Engineer to maintain and evolve the web applications that power our fraud detection platform. The role spans both modern and legacy Java web stacks, including authentication and access control.
You will be the technical steward for these applications: keeping them stable, secure, and supportable; modernizing where it makes sense; mentoring other engineers; and partnering with product, QA, and operations to deliver reliable changes.
What You'll Do
* Own and evolve applications across the UI, server-side, persistence, and integration layers.
* Diagnose and resolve production issues end-to-end across current and legacy stacks.
* Design and implement enhancements requested by product and customer-facing teams.
* Keep dependencies and application frameworks patched, secure, and supportable.
* Improve test coverage and overall engineering quality.
* Lead design and code reviews, and provide technical guidance to other engineers.
* Mentor junior and mid-level engineers.
* Participate in releases, production support, and on-call rotations.
Required Experience
* Strong Java experience from production work on non-trivial systems.
* Production experience with JSF and a JSF component library such as RichFaces or PrimeFaces, including Facelets/xhtml.
* Solid CDI experience and servlet container deployment experience with Apache Tomcat or similar.
* Experience with JBoss/WildFly application servers and EJB-based enterprise Java applications.
* Strong Hibernate/JPA skills and proficiency with SQL.
* Web fundamentals: HTML, CSS, JavaScript, and the JSF AJAX lifecycle.
* Git-based development workflows and a track record of debugging complex production systems.
Strongly Preferred
* Experience maintaining and modernizing long-lived enterprise Java codebases, including dependency upgrades, framework migrations, and gradual de-risking of legacy stacks.
* Hands-on experience with authentication and authorization systems such as SSO, SAML, session management, and token handling.
* Security mindset, including XSS/CSRF prevention, output encoding, secure session handling, and OWASP Top 10 remediation.
* Web testing experience with JUnit, Selenium/WebDriver, and Arquillian.
* Experience in fraud, payments, banking, or other financial services domains.
Core Tech Stack
Java • JSF • RichFaces • OmniFaces • CDI • EJB • JBoss/WildFly • Apache Tomcat • Hibernate • MySQL
About NiCE
NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.
Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.
NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.

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