ZipRecruiter

Log In

1

Software Engineer Fraud Detection Jobs in Chicago, IL

Adyen

Merchant Fraud Analyst

Chicago, IL · On-site

$85K - $110K/yr

At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with ... Experience with fraud prevention, fraud detection, fraud investigations and fraud remediation in ...

tastylive

Fraud Analyst

Chicago, IL · On-site

$80K - $100K/yr

Monitor emerging fraud trends (e.g., AI-generated identity fraud, social engineering, SIM-swapping) and proactively recommend process or detection improvements * Operate with significant autonomy in ...

tastytrade

Fraud Analyst

Chicago, IL · On-site

$80K - $100K/yr

Monitor emerging fraud trends (e.g., AI-generated identity fraud, social engineering, SIM-swapping) and proactively recommend process or detection improvements * Operate with significant autonomy in ...

tastytrade

Fraud Analyst

Chicago, IL · Hybrid

$80K - $100K/yr

Monitor emerging fraud trends (e.g., AI-generated identity fraud, social engineering, SIM-swapping) and proactively recommend process or detection improvements * Operate with significant autonomy in ...

Adyen

Merchant Fraud Analyst

Chicago, IL · On-site

$85K - $110K/yr

At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with ... Experience with fraud prevention, fraud detection, fraud investigations and fraud remediation in ...

tastylive

Fraud Analyst

Chicago, IL · Hybrid

$80K - $100K/yr

Monitor emerging fraud trends (e.g., AI-generated identity fraud, social engineering, SIM-swapping) and proactively recommend process or detection improvements * Operate with significant autonomy in ...

Coinflow

Senior Software Engineer

Chicago, IL · On-site

$140K - $190K/yr

Develop fraud detection and risk management features using real-time data analysis Scale Our ... software engineering experience * Strong proficiency in TypeScript and Node.js; experience with ...

NINJA HOLDINGS, LLC

Software Engineer

Chicago, IL · On-site +1

... fraud detection, and analytics services. With offices in Chicago, Miami, and around the world ... Job Summary The Software Engineer will be responsible for building new systems, enhancing and ...

NinjaHoldings

Software Engineer

Chicago, IL · On-site +1

$100K - $150K/yr

... fraud detection, and analytics services. With offices in Chicago, Miami, and around the world ... Job Summary The Software Engineer will be responsible for building new systems, enhancing and ...

NinjaHoldings

Software Engineer

Chicago, IL · On-site +1

$100K - $150K/yr

... fraud detection, and analytics services. With offices in Chicago, Miami, and around the world ... Job Summary The Software Engineer will be responsible for building new systems, enhancing and ...

Byline Bank.

Fraud Analyst II (Chicago, IL)

Chicago, IL · On-site

$61K - $76K/yr

Reviews case management software to investigate and disposition cases as required, including ... Monitors fraud trends and recommend enhancements to fraud detection strategies, controls, and ...

New

next page

Showing results 1-20

All JobsSoftware Engineer Fraud Detection JobsSoftware Engineer Fraud Detection Jobs in Chicago, IL

Software Engineer Fraud Detection information

See Chicago, IL salary details

$24.7K

$108K

$194.7K

How much do software engineer fraud detection jobs pay per year?

As of Aug 8, 2026, the average yearly pay for software engineer fraud detection in Chicago, IL is $108,024.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $123,600.00 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.

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 Chicago, IL? For Software Engineer Fraud Detection jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Software Engineer Fraud Detection jobs in Chicago, IL look for? The top searched job categories for Software Engineer Fraud Detection jobs in Chicago, IL are:
Software Engineer Fraud Detection jobs near you

Cyber Fraud Investigations Analyst

Cypress HCM

Chicago, IL • Remote

$40 - $49.14/hr

Full-time

Re-posted 15 days ago

Job description


Cyber Fraud Investigations Analyst
Job Details
  • Cyber Fraud Investigations Analyst (Contract)
  • Location: Chicago IL 60611
  • Duration: 11/10/2025 to 11/09/2026
  • Team: Global Payments and Billings
Key Responsibilities:
  • Investigate, analyze, and report cases of fraud/abuse related activity within or targeting Adobe’s ecosystem.
  • Create and synthesize various data tables into usable, actionable intelligence.
  • Detail key attributes driving Fraud through signal identification and incorporate into machine learning models to create a more streamlined end-to-end process in mitigating fraud.
  • Provide data to internal teams for secondary review and identification of additional fraud patterns to further enhance machine learning and AI initiatives.
  • Integrate both traditional (covert/overt) and technical (SQL) investigative techniques within the intelligence gathering process.
  • Produce investigative reports synthesizing data and information from across multiple platforms, systems, and tools to present key findings to necessary stakeholders for case resolve.
  • Research cases ranging in complexity, fraud vector, and scope.
  • Collaborate with Data Analytics and Data Engineering to detect, scale, and monitor fraud/abuse related behavior through key point indicators and data visualizations.
  • Establish protocols for investigative practices, fraud detection, and actioning.
  • Analyze and verify escalations of suspected fraud from internal and external Adobe teams.
  • Utilize reverse engineering techniques to disrupt adversarial attack vectors.
  • Discover exploited or potential vulnerabilities and collaborate with Adobe internal teams to provide solutions-based recommendations to address identified gaps.
  • Work with Adobe internal teams to gain business-critical information.
  • Utilize internal and external fraud identification tools and platforms to formulate better detection and actioning strategies.
  • Engage with external groups and industry partners to combat fraud and abuse related behavior.
  • Identify and vet new data sources to perform pattern, trend analysis and enhance fraud detection capabilities.
  • Conduct thorough investigations of e-commerce transactions to identify anomalies and enhance fraud risk rules/assessments to increase the efficiency and effectiveness of fraud prevention measures.
Required Skills & Qualifications:
  • Bachelor's Degree or higher
  • 4+ years of relevant work experience in fields such as Fraud Detection, Investigations or Analytics, Financial Analysis, Cybersecurity, Criminal Justice, Digital Forensics, or a related area.
  • Excellent Written and Verbal Communication Skills – Ability to present key findings and recommendations to various stakeholders and audiences.
  • Adaptability/ Prioritization – Able to operate in a fast-paced work environment and shift focus/priorities quickly.
  • Creativity – “Thinking outside the box”; desire to learn new things approach.
  • Self-sufficient/Self-motivated - Can work collaboratively as well as independently through automated and manual efforts, having a proactive mindset.
  • Attentive to detail - Ability to be thorough in the end-to-end process of an ask or project.
  • Basic understanding and capability to execute investigation-style SQL queries (e.g., with inner/left joins).
  • Inquisitive and investigative nature: Driven by curiosity to understand the mindset and actions of an attacker.
  • Willingness and desire to work independently and problem-solve with visionary guidance.
  • Positive, learning mindset with a detail-oriented, analytical approach to problem-solving.
  • Ability to excel while working remotely with the skills and self-discipline to do so effectively.
  • Experience in Fraud Operations or Investigations is required.
  • Experience in commerce/transaction review for signal and anomalous pattern identification and knowledge of remediation efforts to include, but not limited to, risk rule adjustments.
Compensation:
  • $40.00 $49.14 per hour.
#36532472
Cypress HCM logo

About Cypress HCM

Sourced by ZipRecruiter

We deliver consistently superior recruiting by virtue of trusting, communicative relationships with companies and candidates alike. From Fortune 100s to startups, clients lean on us to fulfill their range of needs from contract to full-time positions. With an intimate knowledge of the industries we serve, a keen sense of what makes for high-performing talent in any role, and shared sense of urgency, our clients will tell you: your solution begins here.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Walnut Creek, CA, US

Year founded

2005

Social media

FacebookTwitter

View All Cypress HCM Jobs