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Software Engineer Fraud Detection Jobs in Michigan

Ford Motor

Software Engineering Manager

Dearborn, MI · On-site

$85.40 - $143.20/hr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

... detection, proactive incident prevention, and automated root‑cause analysis (RCA) of payment ... Actively identifies risks (e.g., PSP dependency, latency, fraud/chargeback exposure, compliance ...

Ford Motor Company

Software Engineering Manager

Dearborn, MI · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

... anomaly detection, proactive incident prevention, and automated root-cause analysis (RCA) of ... Actively identifies risks (e.g., PSP dependency, latency, fraud/chargeback exposure, compliance ...

Ford Motor Company

Senior Software Engineer

Dearborn, MI · On-site

$113K - $149K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

We are seeking a highly skilled engineer to design, build, and operate large-scale, cloud-native ... Participate in AI-driven anomaly detection and automated incident diagnostics. * Support critical ...

General Motors

Senior Embedded Software Engineer

Pontiac, MI · Hybrid

$123K - $161K/yr

RTOS, Memory, Fault Detection, Power Management, LIN, DMA, PWM Input/Output, Discrete Input/Output ... experience as an Embedded Software Engineer, Validation Engineer, or related occupation.

New

FastTek

Software Engineer

Dearborn, MI

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Software Engineer #1061415 Position Description: As a Full Stack Developer within the Connected ... Our tools are regularly reviewed to detect potential bias and to ensure compliance with all ...

THOMSON REUTERS

Lead Software Engineer, AI

Ann Arbor, MI · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Lead Software Engineer, AI What if the AI agents you architect empower legal professionals to act ... and quality/drift detection) so regressions in agent behavior get caught before they reach ...

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All JobsSoftware Engineer Fraud Detection JobsSoftware Engineer Fraud Detection Jobs in Michigan

Software Engineer Fraud Detection information

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.

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 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 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 Michigan?

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

What job categories do people searching Software Engineer Fraud Detection jobs in Michigan look for?

The top searched job categories for Software Engineer Fraud Detection jobs in Michigan are:

What cities in Michigan are hiring for Software Engineer Fraud Detection jobs?

Cities in Michigan with the most Software Engineer Fraud Detection job openings:

Software Engineer Fraud Detection jobs near you
Infographic showing various Software Engineer Fraud Detection job openings in Michigan as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Software Engineer - Platform Observability

Scalence L.L.C.

Dearborn, MI • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Summary:
Scalence L.L.C. is seeking a highly motivated full stack developer to join their Observability team. In this role, you will design and build the next generation of self-service observability infrastructure that provides deep, real-time insights into their data platform.
Responsibilities:
• Champion the adoption of modern telemetry standards and build robust data pipelines to handle metrics, logs, and traces daily.
• Create intuitive tooling that helps detect, diagnose, and resolve complex system issues before they impact users.
• Design and develop RESTful APIs for seamless integration across platform services.
• Implement robust unit and functional tests to maintain high standards of test coverage and quality.
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
• 5-8 years of experience as a Software Engineer.
• Proficient in Python with a minimum of 5 years of experience (Java experience is a plus).
• Minimum 1 year of experience with Angular, React, or Vue.
• Minimum 3 years of experience with GCP, Azure, or AWS cloud platforms.
• Applicants must be able to work directly for Artech on W2.
Preferred:
• Experience with GCP tools like BigQuery, CloudRun, PubSub.
• Experience with an Observability platform like Dynatrace or Datadog.
• Certifications: GCP Data Engineer, GCP Professional Cloud.
Company:
In today’s dynamic and competitive market, success hinges on mastering three key areas: Data Intelligence, Business Resilience, and Digital Experience. Founded in , the company is headquartered in Morristown, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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