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Fraud Detection Machine Learning Jobs in Chicago, IL

Coinflow

Machine Learning Lead

Chicago, IL · On-site

$225K - $275K/yr

Strengthen Coinflow's fraud detection and risk decisioning capabilities - feature engineering ... in machine learning, applied data science, or production ML roles * Demonstrated experience ...

PayPal

Machine Learning Engineer

Chicago, IL · On-site

This job will validate and develop machine learning models and algorithms to solve complex problems ... Relevant Modeling experience in credit scoring, fraud detection, financial forecasting, or ...

Varsity Tutors

Machine Learning Tutor

Chicago, IL · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Machine Learning Tutor

Skokie, IL · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Machine Learning Tutor

Wheaton, IL · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Machine Learning Tutor

Schaumburg, IL · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Machine Learning Tutor

Des Plaines, IL · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Machine Learning Tutor

Oak Lawn, IL · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Machine Learning Tutor

Evanston, IL · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Machine Learning Tutor

Highland Park, IL · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Machine Learning Tutor

Lake Forest, IL · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Machine Learning Tutor

Buffalo Grove, IL · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

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All JobsFraud Detection Machine Learning JobsFraud Detection Machine Learning Jobs in Chicago, IL

Fraud Detection Machine Learning information

See Chicago, IL salary details

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How much do fraud detection machine learning jobs pay per hour?

As of Jul 25, 2026, the average hourly pay for fraud detection machine learning in Chicago, IL is $18.60, according to ZipRecruiter salary data. Most workers in this role earn between $15.34 and $19.81 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals working in Fraud Detection Machine Learning, and how can they be addressed?

Professionals in Fraud Detection Machine Learning often face challenges such as dealing with highly imbalanced datasets, rapidly evolving fraud patterns, and the need for real-time detection. Managing data imbalance requires careful selection of evaluation metrics and specialized algorithms. Staying ahead of new fraud tactics involves continuous model retraining and close collaboration with domain experts. Additionally, integrating machine learning solutions with existing systems often requires cross-functional teamwork with IT, security, and compliance teams.

What is fraud detection using machine learning?

Fraud detection using machine learning involves leveraging algorithms and data analysis techniques to identify suspicious or fraudulent activities in various domains, such as banking, e-commerce, or insurance. These systems analyze large volumes of transaction data to detect patterns or anomalies that may indicate fraud. Machine learning models can adapt over time, improving their accuracy as they are exposed to more data. This approach helps organizations automate and enhance their ability to prevent, detect, and respond to fraudulent behavior efficiently.

What is the difference between Fraud Detection Machine Learning vs Fraud Analyst?

AspectFraud Detection Machine LearningFraud Analyst
CredentialsData science, machine learning certifications, programming skillsFinance, criminal justice degrees, analytical skills
Work EnvironmentData-driven, tech-focused, often in financial or e-commerce sectorsInvestigative, report-focused, in financial institutions or insurance companies
Employer & IndustryTech companies, banks, e-commerce platformsFinancial institutions, insurance firms, retail

Fraud Detection Machine Learning involves developing algorithms to identify fraudulent activities automatically, relying heavily on data analysis and programming. Fraud Analysts manually investigate suspicious cases and interpret data insights. While both roles aim to prevent fraud, Machine Learning specialists focus on building models, whereas Fraud Analysts focus on case investigation and decision-making.

What are the key skills and qualifications needed to thrive as a Fraud Detection Machine Learning Specialist, and why are they important?

To thrive as a Fraud Detection Machine Learning Specialist, you need strong expertise in machine learning, statistical analysis, and programming languages like Python or R, typically supported by a degree in computer science, data science, or a related field. Familiarity with tools such as TensorFlow, Scikit-learn, SQL databases, and experience with big data platforms or cloud services is highly valuable. Critical thinking, attention to detail, and effective communication are crucial soft skills for identifying complex fraud patterns and collaborating with interdisciplinary teams. These competencies are vital for developing accurate models that protect organizations from financial losses and maintain trust with customers.
What are popular job titles related to Fraud Detection Machine Learning jobs in Chicago, IL? For Fraud Detection Machine Learning jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Fraud Detection Machine Learning jobs in Chicago, IL look for? The top searched job categories for Fraud Detection Machine Learning jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Fraud Detection Machine Learning jobs? Cities near Chicago, IL with the most Fraud Detection Machine Learning job openings:
Fraud Detection Machine Learning jobs near you
Infographic showing various Fraud Detection Machine Learning job openings in Chicago, IL as of July 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $38,680 per year, or $18.6 per hour.
Cyber Fraud Investigations Analyst

Cyber Fraud Investigations Analyst

Cypress HCM

Chicago, IL • Remote

$40 - $49.14/hr

Full-time

Posted yesterday

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.
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About Cypress HCM

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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

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