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Data Scientist Fraud Detection Jobs in Addison, IL

Doist

Senior Data Scientist - Fraud (Hybrid)

Chicago, IL · On-site

$96 - $125/hr

As a Senior Data Scientist on Enova's Fraud Analytics team, you'll be the quantitative engine of ... Partner closely with Fraud Operations through the full detection loop -- pulling data together ...

1 point system

Senior Data Scientist

Chicago, IL · Remote

Requirement - Senior Data Scientist Location- Chicago, IL-Remote Contract W2 Updated JD PURPOSE ... Experience with insurance claims, risk management analytics, litigation analytics, fraud detection ...

1 point system

Senior Data Scientist

Chicago, IL · Remote

Job Title Senior Data Scientist Location Remote Type of Hire 4 months contract They strictly want ... Experience with insurance claims, risk management analytics, litigation analytics, fraud detection ...

Kemper

Data Scientist

Chicago, IL · Hybrid

... fraud detection, subrogation identification, vehicle damage severity, adjuster triage and claims ... data science/ predictive analytics environment preferred. * Self-directed and able to work with ...

Adyen

Merchant Fraud Analyst

Chicago, IL · On-site

$85K - $110K/yr

... using data to identify emerging trends, drive investigations, and suggest improvements to fraud operations policies and tooling * Experience with fraud prevention, fraud detection, fraud ...

Citizens

Fraud Risk Analytics Manager

Chicago, IL · Hybrid

$106K - $130K/yr

... data science * Strong experience with fraud detection, prevention, and decisioning systems in complex environments * Demonstrated ability to balance risk reduction, customer experience, and ...

Citizens

Fraud Risk Analytics Manager

Chicago, IL · Hybrid

$106K - $130K/yr

... data science * Strong experience with fraud detection, prevention, and decisioning systems in complex environments * Demonstrated ability to balance risk reduction, customer experience, and ...

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All JobsData Scientist Fraud Detection JobsData Scientist Fraud Detection Jobs in Addison, IL

Data Scientist Fraud Detection information

See Addison, IL salary details

$37.6K

$123K

$196.9K

How much do data scientist fraud detection jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data scientist fraud detection in Addison, IL is $122,968.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,700.00 and $136,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data scientist in fraud detection?

To thrive as a Data Scientist in Fraud Detection, you need a strong background in statistics, machine learning, and data analysis, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with programming languages like Python or R, experience with big data tools (e.g., Hadoop, Spark), and knowledge of fraud detection platforms are essential. Strong problem-solving abilities, attention to detail, and effective communication skills set candidates apart in this field. These skills and qualities are crucial for identifying fraudulent activities quickly and accurately, minimizing financial losses, and supporting organizational security.

What is the difference between Data Scientist Fraud Detection vs Data Analyst Fraud Detection?

AspectData Scientist Fraud DetectionData Analyst Fraud Detection
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fields; programming skills in Python/RBachelor's in Data Analysis, Statistics, or related fields; proficiency in Excel, SQL
Work EnvironmentDeveloping models, advanced analytics, machine learning tasksData cleaning, reporting, basic analysis
Employer & Industry UsageFinancial institutions, e-commerce, insurance

Data Scientist Fraud Detection focuses on building predictive models and applying machine learning techniques to identify fraud patterns. Data Analysts Fraud Detection primarily perform data cleaning, reporting, and basic analysis to support fraud detection efforts. While both roles work in similar industries, Data Scientists handle more complex modeling, whereas Data Analysts focus on data interpretation and reporting.

How does a data scientist in fraud detection typically collaborate with other teams to develop effective solutions?

As a Data Scientist in Fraud Detection, you will regularly collaborate with cross-functional teams such as fraud analysts, software engineers, and product managers. Working closely with fraud analysts helps you understand emerging fraud patterns, while partnering with engineers ensures your models are effectively integrated into real-time systems. You may also coordinate with compliance and legal teams to ensure solutions meet regulatory requirements. This collaborative approach not only improves the accuracy and impact of fraud detection models but also fosters a dynamic, supportive work environment.

What does a data scientist in fraud detection do?

A Data Scientist in Fraud Detection analyzes large datasets to identify patterns and anomalies that could indicate fraudulent activities. They use machine learning algorithms, statistical models, and data mining techniques to detect and prevent fraud in areas like banking, insurance, and e-commerce. Their work helps organizations proactively combat fraud by developing predictive models and automated systems that flag suspicious transactions. Additionally, they often collaborate with other departments to refine detection strategies and ensure compliance with regulations.
What are popular job titles related to Data Scientist Fraud Detection jobs in Addison, IL? For Data Scientist Fraud Detection jobs in Addison, IL, the most frequently searched job titles are:
What job categories do people searching Data Scientist Fraud Detection jobs in Addison, IL look for? The top searched job categories for Data Scientist Fraud Detection jobs in Addison, IL are:
What cities near Addison, IL are hiring for Data Scientist Fraud Detection jobs? Cities near Addison, IL with the most Data Scientist Fraud Detection job openings:
Data Scientist Fraud Detection jobs near you
Infographic showing various Data Scientist Fraud Detection job openings in Addison, IL as of August 2026, with employment types broken down into 58% Full Time, and 42% Contract. Highlights an 49% In-person, and 51% Remote job distribution, with an average salary of $122,968 per year, or $59.1 per hour.

Senior Data Scientist - Fraud (Hybrid)

Enova International

Chicago, IL

$96K - $125K/yr

Full-time

Posted 12 days ago

Enova International rating

6.8

Company rating: 6.8 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

Job description

We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas or take over sponsorship at this time.

About the role:

Staying a step ahead of fraudsters takes an inquisitive mind, an appetite to dig deeper, and the imagination to shed new light on how we fight fraud - and here, it all starts with data. As a Senior Data Scientist on Enova's Fraud Analytics team, you'll be the quantitative engine of our fraud prevention effort. You'll develop, enhance, and test the models and pattern-recognition pipelines that surface emerging fraud trends across our lending products - then work hand-in-hand with our Fraud Operations team, who investigate the individual applications your models flag. Their findings (the false positives and false negatives) come back to you to sharpen the identifying characteristics and pivot the approach. It's a fast, iterative loop, and you sit at the center of it.

The broader Enova Analytics department consists of 100 quantitative professionals dedicated to using the latest cutting-edge techniques to drive business value: providing customers with access to fast, trustworthy credit while managing risk. Our company-wide, data-driven culture means you spend less time presenting and more time on the fun part: crunching data.

Key responsibilities:

  • Develop, deploy, and monitor models and pattern-recognition algorithms to detect emerging and shifting fraud trends across one or more lending products
  • Write customized programs in Python for meaningful data analysis and predictive modeling, and query large, complex datasets in SQL
  • Partner closely with Fraud Operations through the full detection loop - pulling data together, surfacing suspicious patterns, and incorporating their investigation results to refine features and reduce false positives/negatives
  • Conduct ad hoc analysis on large, complex datasets to scope new or changing fraud trends and recommend risk, verification, and operational strategies
  • Communicate findings clearly to cross-functional partners, provide requirements, and support implementation
  • Help improve underwriting and verification processes from a fraud-risk perspective
  • Apply AI in production applications to streamline fraud prevention processes
  • Mentor and develop team members, and help coordinate their work with business priorities. 

Requirements:

  • 4+ years of experience in analytics, applied machine learning, or quantitative modeling
  • Hands-on fraud experience required - fraud analytics, fraud strategy, or risk modeling, ideally in fintech or lending
  • Advanced Python and SQL; experience owning models end-to-end - design through deployment and monitoring - on large-scale transactional data
  • Track record of translating analysis into business strategy and communicating with senior stakeholders
  • Aspiration to grow into a people leadership role through mentoring teammates, driving team initiatives, and shaping priorities.

Compensation:

The budgeted annual salary range for this position is $96,000 to $125,000. Actual annual salary will be determined based on qualifications, skills, experience, and level assessed during the hiring process and may fall outside of the range shown. Additional compensation for this role may include a bonus. All full-time employees are eligible to participate in Company benefits, described in more detail here.

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