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Software Engineer Fraud Detection Jobs in Illinois

Senior Software Engineer

Chicago, IL ยท On-site

$126K - $166K/yr

Our innovative technology protects users from phishing, spoofing, fraud, and other types of attacks. As a Software Engineer at MessageControl you'll be building intelligent products to protect people ...

As a Software Engineer (Orders), you will build and support systems responsible for the acquisition ... Comfort working with payment, ordering, accounting, tax, fraud, or customer-service systems.

We lead the biomedical and radiation detection markets with innovative products and services to ... Our portfolio of products includes software, biomedical test equipment, radiation measurement and ...

Analytics Analyst - Fraud

Chicago, IL ยท On-site

$63K - $83K/yr

Partner closely with Fraud Operations through the full detection loop - pulling data together ... Solid programming skills for data analysis - demonstrated through work, internships, coursework, or ...

Fraud Risk Analytics Manager

Chicago, IL ยท Hybrid

$106K - $130K/yr

Strong experience with fraud detection, prevention, and decisioning systems in complex environments ... Feature engineering * Model evaluation and performance monitoring Preferred Qualifications

Fraud Risk Analytics Manager

Chicago, IL ยท Hybrid

$106K - $130K/yr

Strong experience with fraud detection, prevention, and decisioning systems in complex environments ... Feature engineering * Model evaluation and performance monitoring Preferred Qualifications

Fraud Risk Analytics Manager

Chicago, IL ยท Hybrid

$106K - $130K/yr

Strong experience with fraud detection, prevention, and decisioning systems in complex environments ... Feature engineering * Model evaluation and performance monitoring Preferred Qualifications

Machine Learning Lead

Chicago, IL ยท On-site

$225K - $275K/yr

Strengthen Coinflow's fraud detection and risk decisioning capabilities - feature engineering, model development, and production deployment * Own the full model lifecycle: experimentation, evaluation ...

Fraud Risk Analytics Manager

Chicago, IL ยท Hybrid

$106K - $130K/yr

Strong experience with fraud detection, prevention, and decisioning systems in complex environments ... Feature engineering * Model evaluation and performance monitoring Preferred Qualifications

Data Engineer

O Fallon, IL ยท On-site +1

$61K - $141K/yr

... fraud detection to cancer research, to national intelligence. As a Data Engineer at Booz Allen, you ... Experience creating software for retrieving, parsing, and processing structured and unstructured ...

... fraud detection to cancer research, to national intelligence. As a Data Engineer at Booz Allen, you ... Experience creating software for retrieving, parsing, and processing structured and unstructured ...

Data Engineer

O Fallon, IL ยท On-site

$61K - $141K/yr

... fraud detection to cancer research, to national intelligence. As a Data Engineer at Booz Allen, you ... Experience creating software for retrieving, parsing, and processing structured and unstructured ...

Showing results 41-60

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 Illinois?

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

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

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

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

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

Senior Software Engineer

MessageControl

Chicago, IL โ€ข On-site

$126K - $166K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 5 days ago


Job description

Company Description
MessageControl is a cybersecurity start-up in Chicago providing human layer email and messaging security. Our innovative technology protects users from phishing, spoofing, fraud, and other types of attacks.
Job Description
As a Software Engineer at MessageControl you'll be building intelligent products to protect people from sophisticated email attacks. In this position, your software development expertise will assist in successfully building new features and improving our security products. Our transparent and collaborative culture means we work both independently and together as a team on projects in an agile environment. This role will include front-end, back-end, infrastructure and CI/CD.
Your day-to-day
  • Build innovative new features and products to enhance email security for our customers.
  • Optimize our platform for performance and scalability.
  • Collaborate with other engineers and customers to develop new strategies for defending against email-based attacks.
  • Work with the team to troubleshoot complex issues.

Qualifications
What you bring to the team:
  • Ownership of all stages in the iterative development pipeline from design, to implementation, testing, deployment, monitoring and maintenance.
  • Write secure, maintainable frontend and backend code.
  • The ability to design fault tolerant systems so the team can move fast, without negatively impacting our customers.
  • Comprehensive ability to troubleshoot and remediate complex issues.
  • Curiosity about the techniques used in phishing/malicious email campaigns.
  • A passion to stay on top of security trends, experiment with and learn new technologies.
  • Ability to learn quickly in a loosely structured, rapidly changing work environment.

Desirable Skills and Experience:
  • Bachelor's degree in Computer Science, Software Engineering, or equivalent industry experience.
  • 4+ years professional software engineering experience.
  • Experience with frontend development (Angular and React).
  • You've previously worked at a startup or think you'll enjoy working on many things you've never even seen before.
  • Demonstrated software architecture and distributed systems experience.
  • Strong knowledge of AWS, GCP, or Azure.
  • Language polyglot (Javascript, PHP, Python, C#, etc.)
  • Bonus: Prior experience building cybersecurity products.
  • Bonus: Machine learning experience in a production environment.

Additional Information
Perks/Benefits:
  • Direct access to senior management - our leadership team works alongside our team members every day.
  • Comprehensive medical, dental, and vision insurance.
  • Company paid life insurance, short term disability and long term disability.
  • Flexible paid time off (PTO) policy, plus sick days.
  • Ongoing professional development opportunities by level and function.
  • Your choice of Windows or Mac laptop.
  • Onsite gym.
  • Casual dress in a fun, friendly and collaborative work environment.
  • The ability to have significant impact every day.

Location:
  • Thisposition is onsite at our office in the Chicago Loop. We're not offering remote employment at this time.