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Fraud Detection Machine Learning Jobs in Chicago, IL

Coin Flow

Machine Learning Engineer

Chicago, IL

$160K - $220K/yr

Coinflow enables businesses to grow faster with instant settlement, fraud & chargeback indemnity ... Coinflow is seeking a Machine Learning Engineer to help build the intelligence layer that powers ...

Coinflow

Machine Learning Engineer

Chicago, IL · On-site

$160K - $220K/yr

Coinflow enables businesses to grow faster with instant settlement, fraud & chargeback indemnity ... Coinflow is seeking a Machine Learning Engineer to help build the intelligence layer that powers ...

PayPal, Inc.

Senior Data Scientist

Chicago, IL · On-site

Drive success through data-driven approach by applying statistics, machine learning and AI into fraud detection space. Maintain loss within targets while still delivering best-in-class risk ...

PayPal

Senior Data Scientist

Chicago, IL

Drive success through data-driven approach by applying statistics, machine learning and AI into fraud detection space. Maintain loss within targets while still delivering best-in-class risk ...

Darwill, Inc.

Machine Learning Engineer

Villa Park, IL · On-site

MACHINE LEARNING ENGINEER (MLOPS / DATA ENGINEERING) Overview Darwill is a nationally recognized ... Support model performance monitoring, drift detection, and retraining cycles Deployment, Monitoring ...

Tharu Technologies

Lead Data Scientist

Chicago, IL · Hybrid

We are seeking a seasoned Lead Data Scientist to spearhead AI and machine learning initiatives for ... automation, fraud detection, and personalized underwriting. Leading a team, you'll integrate AI ...

Chase

Applied AI/ML Lead

Chicago, IL

Your role will involve researching, experimenting, developing, and implementing high-quality machine learning models, services, and platforms to streamline payment processes, bolster fraud detection ...

Young Innovations, Inc

Data Scientist (38948)

Algonquin, IL · On-site

$120K - $140K/yr

Build and optimize predictive models using advanced machine learning techniques to support forecasting, customer segmentation, retention strategies, fraud detection, and other high-impact business ...

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Fraud Detection Machine Learning information

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

As of Jun 16, 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 June 2026, with employment types broken down into 100% Full Time. Highlights an 72% In-person, and 28% Hybrid job distribution, with an average salary of $38,680 per year, or $18.6 per hour.

Machine Learning Engineer

Coin Flow

Chicago, IL

$160K - $220K/yr

Other

Medical, Retirement

Posted 20 days ago

Job description

About Coinflow
Coinflow is the next-generation payment service provider revolutionizing global financial infrastructure with stablecoins, AI-driven fraud prevention, and instant settlement. Coinflow enables businesses to grow faster with instant settlement, fraud & chargeback indemnity, global pay-ins, multi-currency FX, and unified payouts. Founded in 2023, the company serves marketplaces, fintechs, remittance providers, gaming platforms, and ecommerce merchants worldwide.
Since our seed round in 2024, we've achieved 23x revenue growth and scaled to multi-billion-dollar annual transaction volume. In response to this growth, Coinflow announced a $25M Series A in October 2025-led by Pantera Capital, CMT Digital, Coinbase Ventures, Jump Crypto, and Reciprocal Ventures-accelerating our mission to power the world's fastest-moving businesses with innovative, reliable global payments.
Coinflow is proudly headquartered in Chicago, IL. Learn more at coinflow.cash.
Role Overview:
Coinflow is seeking a Machine Learning Engineer to help build the intelligence layer that powers our platform.
This is a zero-to-one role. You will be the first dedicated ML hire and will own how data and machine learning are developed and applied across Coinflow. You'll explore large-scale transaction and behavioral data, build models and analytical systems, define what success looks like, and embed intelligence directly into our products and internal tooling.
The ideal candidate is deeply curious, excited to experiment, and motivated by building something that does not yet exist.
Key Responsibilities:
  • Build and evolve machine learning models and analytical systems that support platform decisioning and product intelligence
  • Establish the foundation for data and machine learning practices across the company
  • Define, own, and evolve core metrics across platform health, performance, and risk
  • Explore transaction and behavioral data to uncover patterns, signals, and new insights
  • Partner closely with Engineering, Product, and Operations to turn open-ended problems into real systems
  • Design how models and data systems are evaluated, improved, and trusted over time
  • Build internal workflows and tooling that support operational and product teams
  • Help shape Coinflow's long-term data and machine learning roadmap
Required Qualifications:
  • 4+ years of experience in machine learning, applied data science, or production ML roles
  • Strong foundation in machine learning, statistics, and analytical problem solving
  • Experience building models or data-driven systems that operate in real products
  • Comfort working with ambiguous problems and creating structure where none exists
  • Strong communication skills and experience collaborating cross-functionally
  • High ownership mindset with genuine curiosity about messy, real-world data
Preferred Qualifications:
  • Experience building decisioning, optimization, fraud, risk, or other payments systems
  • Experience in fintech, payments, or other financial services environments
  • Experience as an early data/ML hire at a startup
  • Experience working with high-volume behavioral or financial data
What We Offer:
  • Competitive compensation including base salary, performance bonus, and meaningful ownership
  • Opportunity to build the fraud and risk intelligence layer of a rapidly scaling fintech company
  • Collaborative and innovative work environment with world-class investors
  • Direct impact on core risk infrastructure and company trajectory during a hypergrowth phase

The base salary range for this role is $160,000 to $220,000 USD. The actual base salary offered depends on a variety of factors, including but not limited to experience, education, skills, qualifications and business needs.
In addition, the employee who fills this role will be eligible for an equity grant, allowing you to share in the long-term success of the company. You will also have access to a wide array of benefits, including health and wellness benefits, 401(k) savings plan, and flexible time off.
Join the team rewriting how money moves worldwide-and become a driving force in the $194 trillion cross-border payments market.

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