ZipRecruiter

Log In

1

Software Engineer Fraud Detection Jobs in Utah (NOW HIRING)

NICE

Senior Software Engineer, Actimize

Santa Clara, UT · On-site

$109K - $144K/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 ...

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 ...

Snap Finance

Fraud Program Manager

West Valley City, UT · On-site

... detection capabilities, and partnering across Fraud Operations, Analytics, Product, and Engineering teams. How you'll make an impact: Fraud Program Ownership * Own a defined portion of the fraud ...

Zions Bank

Director of Fraud Strategy

Midvale, UT · On-site

Develop and maintain an integrated fraud initiatives roadmap spanning prevention, detection ... engineering) and ensure rapid deployment of countermeasures. * Coordinate cross-functional ...

Corporation Service Company

Software Engineer

Logan, UT · On-site

Software Engineer - Real Estate eRecording Logan, UT Monday - Friday 8:00 am - 5:00 pm Onsite We're ... detection - to automate and accelerate the eRecording workflow. * Integrate AI services and APIs (e ...

next page

Showing results 1-20

All JobsSoftware Engineer Fraud Detection JobsSoftware Engineer Fraud Detection Jobs in Utah

Software Engineer Fraud Detection information

What does a Software Engineer in 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.

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 the key skills and qualifications needed to thrive as a Software Engineer in 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.

How does a Software Engineer in 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 popular job titles related to Software Engineer Fraud Detection jobs in Utah? For Software Engineer Fraud Detection jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Software Engineer Fraud Detection jobs in Utah look for? The top searched job categories for Software Engineer Fraud Detection jobs in Utah are:
What cities in Utah are hiring for Software Engineer Fraud Detection jobs? Cities in Utah with the most Software Engineer Fraud Detection job openings:
Software Engineer Fraud Detection jobs near you
Senior Software Engineer, Actimize

Senior Software Engineer, Actimize

NICE

Santa Clara, UT • On-site

$109K - $144K/yr

Other

Re-posted 3 days ago

Job description

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

Apply