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Software Engineer Fraud Detection Jobs in Detroit, MI

FastTek

Software Engineer

Dearborn, MI · On-site

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 ...

FastTek

Software Engineer

Dearborn, MI · On-site

Software Engineer #1060135 Position Description: * Design, Develop and implement S/4 HANA Fiori ... Our tools are regularly reviewed to detect potential bias and to ensure compliance with all ...

Ford Motor Company

Senior Software Engineer

Dearborn, MI · Hybrid

$113K - $149K/yr

We are seeking a highly skilled engineer to design, build, and operate large-scale, cloud-native ... Experience with AI-driven observability or anomaly detection tools. * Proven experience supporting ...

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Showing results 21-40

All JobsSoftware Engineer Fraud Detection JobsSoftware Engineer Fraud Detection Jobs in Detroit, MI

Software Engineer Fraud Detection information

See Detroit, MI salary details

$23.8K

$103.8K

$187.1K

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 Detroit, MI is $103,810.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,300.00 and $118,800.00 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 Detroit, MI?

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

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

The top searched job categories for Software Engineer Fraud Detection jobs in Detroit, MI are:

Software Engineer Fraud Detection jobs near you
Infographic showing various Software Engineer Fraud Detection job openings in Detroit, MI 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, with an average salary of $103,810 per year, or $49.9 per hour.

Software Engineer

FastTek

Dearborn, MI • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago

Job description

Software Engineer #1061415
Position Description:
As a Full Stack Developer within the Connected Vehicle ecosystem, candidate will be responsible for developing and managing high-quality API solutions that power the CVCEP platform, the CVCEP Chatbot, and critical support tools like the Dealer Software Support Hotline (DSSH). Candidate will utilize Java, Microservices, and Google Cloud Platform (GCP) to build scalable, data-driven features that bridge the gap between vehicle connectivity, dealer support, and the end-customer experience.
Skills Required:
  • AWS, GCP, Angular, Spring Boot, React, Java, API - Candidate must have knowledge of the list technology stacks.
  • Candidate must have experience in one or multiple of these technologies for 5+ years or more.

Skills Preferred:
  • Kubernetes, Microservices - Candidate must have knowledge of these principles.
  • Experience in these areas is preferred

Experience Required:
  • 5+ years of Java development experience.
  • 3+ years of Spring and Spring Boot framework experience.
  • 3+ years of experience with Software Development tools (Backlog Management (JIRA), Source Code Management (GitHub), Test Management, CI/CD (Tekton/Jenkins/GitHub actions).
  • 3+ years of experience with Test Driven Development and Agile Methodologies.
  • 2+ years of experience with Cloud environments (preferably GCP)

Education Required:
  • Bachelor's Degree

Additional Information:
  • Design and implement robust backend services for CVCEP, ensuring seamless data flow between connected vehicles and customer-facing interfaces.
  • Architect scalable microservices using Java (Spring Boot) to support the high-concurrency needs of connected vehicle platforms.
  • Design and tune Natural Language Understanding (NLU) models to improve the CVCEP Chatbot's ability to accurately interpret complex customer queries and vehicle-specific jargon.
  • Implement Retrieval-Augmented Generation (RAG) patterns to allow the chatbot to provide precise answers based on our technical documentation and owner manuals.
  • Identify and troubleshoot dealer reported issues (DSSH) to find effective solutions and resolve customer facing issues.
  • Ensure the SLA target of 80% case resolution within 48 hours is met. Maintain detailed and accurate records of interactions, feedback, and reported problems in Jira for data harnessing.
  • Ensure all CVCEP and Chatbot APIs comply with our approved standards by performing rigorous security scanning with 42-Crunch. Speci

Additional Info:
At FastTek Global, Our Purpose is Our People and Our Planet. We come to work each day and are reminded we are helping people find their success stories. Also, Doing the right thing is our mantra. We act responsibly, give back to the communities we serve and have a little fun along the way.
We have been doing this with pride, dedication and plain, old-fashioned hard work for 24 years!
FastTek Global is financially strong, privately held company that is 100% consultant and client focused.
We've differentiated ourselves by being fast, flexible, creative and honest. Throw out everything you've heard, seen, or felt about every other IT Consulting company. We do unique things and we do them for Fortune 10, Fortune 500, and technology start-up companies.
Our benefits are second to none and thanks to our flexible benefit options you can choose the benefits you need or want, options include:
  • Medical and Dental (FastTek pays majority of the medical program)
  • Vision
  • Personal Time Off (PTO) Program
  • Long Term Disability (100% paid)
  • Life Insurance (100% paid)
  • 401(k) with immediate vesting and 3% (of salary) dollar-for-dollar match

Plus, we have a lucrative employee referral program and an employee recognition culture.
FastTek Global was named one of the Top Work Places in Michigan by the Detroit Free Press in 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, and 2023!
To view all of our open positions go to: https://www.fasttek.com/fastswitch/findwork
Follow us on Twitter: https://twitter.com/fasttekglobal
Follow us on Instagram: https://www.instagram.com/fasttekglobal
Find us on LinkedIn: https://www.linkedin.com/company/fasttek
You can become a fan of FastTek on Facebook: https://www.facebook.com/fasttekglobal/
AI & Hiring Disclosure
We use AI tools to support parts of our hiring process, such as reviewing applications and identifying potential matches. These tools are designed to promote efficiency, consistency, and fairness, and they are always used under human oversight.
All personal data collected is used solely for recruitment purposes, and you have the right to know, access, or request deletion of your data at any time, subject to legal limits.
If AI will be used in a video interview, you'll be informed in advance and asked for your consent, with the option to opt out.
Our tools are regularly reviewed to detect potential bias and to ensure compliance with all applicable laws and our commitment to inclusive hiring.
To learn more or exercise your rights, please contact us at info@fasttek.com.