ZipRecruiter

Log In

1

Software Engineer Fraud Detection Jobs in Michigan

SkySync

Software Engineer

Ann Arbor, MI · Remote

Responsibilities As a Software Engineer that is part of Product Development, your primary role involves developing industry standard and custom detection logic for the Data Governance product. The ...

NJ CURE

$90K - $120K/yr

Data Engineer CURE Auto Insurance is a leading direct writer of auto insurance in New Jersey ... Exposure to MLOps/data needs for fraud detection, pricing, or claims severity models is a plus.

General Motors

Senior Software Engineer

Milford, MI · On-site

$107K - $142K/yr

Embrace software development methodologies to ensure Software Built In Quality promoting early bug detection and facilitating collaboration between developers testers and non-technical stakeholders.

General Motors

Senior Software Engineer

Milford, MI · Hybrid

$107K - $142K/yr

Embrace software development methodologies to ensure Software Built In Quality promoting early bug detection and facilitating collaboration between developers testers and non-technical stakeholders.

FastTek

Software Engineer

Dearborn, MI

As a Software Engineer on our Platform Observability team, you will be at the heart of our ... detect, diagnose, and resolve complex system issues before they impact our users. * If you love ...

FastTek

Software Engineer

Dearborn, MI

Software Engineer #1059673 * This Software Engineer position is for a Functional/Technical SAP ... Our tools are regularly reviewed to detect potential bias and to ensure compliance with all ...

FastTek

Software Engineer

Dearborn, MI

Software Engineer #1060962 Position Description: Employees in this job function are responsible for ... Our tools are regularly reviewed to detect potential bias and to ensure compliance with all ...

FastTek

Software Engineer

Dearborn, MI · On-site

Software Engineer #1059901 Position Description: Employees in this job function are responsible for ... Our tools are regularly reviewed to detect potential bias and to ensure compliance with all ...

Ford Motor Company

Senior Software Engineer

Allen Park, MI · On-site

$111K - $147K/yr

... detection, and decision-support workflows. * Cloud Infrastructure & IaC Ownership: Design, build ... AI-Assisted Software Engineering: Champion the use of generative AI tools and agentic coding ...

FastTek

Software Engineer

Dearborn, MI · On-site

Software Engineer #1058767 * Employees in this job function are responsible for designing ... Our tools are regularly reviewed to detect potential bias and to ensure compliance with all ...

FastTek

Software Engineer

Dearborn, MI

Software Engineer #1061081 * This is a hands-on individual contributor role focused on building AI ... Our tools are regularly reviewed to detect potential bias and to ensure compliance with all ...

FastTek

Software Engineer

Dearborn, MI · On-site

Software Engineer #1056629 * The Staffs IT WorkTech Team seeks an individual ready to be on a full ... Our tools are regularly reviewed to detect potential bias and to ensure compliance with all ...

Ford Motor Company

Senior Software Engineer

Dearborn, MI · On-site

$113K - $149K/yr

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 ...

next page

Showing results 1-20

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.

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 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

SkySync

Ann Arbor, MI • Remote

Full-time

Re-posted 19 days ago

Job description

SkySync is a leader in migrating and integrating files across the enterprise and has now evolved the product to address Data Governance and Classification. We are on a mission to provide our customers with innovative, robust, and secure solutions for managing their content across any platform.

We are seeking a Software Engineer who understands Regex and can translate regulations into pattern-matching logic without our product. This role will be part of our new Policy Team working on a market-disrupting product that leverages AI/ML capability. We work 100% remotely, so strong communication skills are a must.

Responsibilities

As a Software Engineer that is part of Product Development, your primary role involves developing industry standard and custom detection logic for the Data Governance product. The policies help our customers comply with regulations such as GDPR, CCPA, HIPAA-HITECH, and PII entities. Quality Assurance checks is required to verify accurate results are produced. Research and documentation are also required to keep up to date with the latest changes to regulations that can apply to a variety of industries and to aid in product support reference materials. You will work with a diverse team consisting of technical and business resources to guide and collaborate and will report to the Director of Engineering. The ideal candidate is someone who understands Data Governance and Data Classification technologies for data at rest and Polices/Rules for detecting sensitive data.

Required skills

  • Bachelor's degree in software engineering, computer science or another related field
  • Ability to translate policy rules (e.g. how to detect a Social Security Number pattern as a Regular Expression)
  • 1-2 years background in programming and familiarity with C# and .NET.
  • Design, test, and develop policies to meet the needs for product management and customers.
  • Strong written and verbal communication required.
  • Research and Documentation required.
  • Develop process for policy updates for upgrades and maintenance.
  • Continuous learning and bringing ideas and best practices.
  • Self-starter, capable of working independently with minimal management oversight.

Desired skills

  • Knowledge of DLP solutions or Data Classification solutions is a plus.
  • Knowledge of AI/ML concepts of detecting sensitive data is a plus.
  • Experience with SQL databases (MS SQL, PostgreSQL) is a plus.

Experience with Git, TeamCity

Apply