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Fraud Risk Management Jobs in Illinois (NOW HIRING)

The Fraud Officer works with Risk Management, BSA/AML, Compliance, Operations, Retail Banking, Information Technology, Accounting, and management to identify fraud trends, strengthen controls ...

New

Fraud Officer

Moline, IL · On-site

$58K - $72K/yr

The Fraud Officer works with Risk Management, BSA/AML, Compliance, Operations, Retail Banking, Information Technology, Accounting, and management to identify fraud trends, strengthen controls ...

New

... risk in an ever changing and evolving business environment. This role applies strong domain knowledge to independently manage complex initiatives , contributing to fraud strategy development and ...

... risk in an ever changing and evolving business environment. This role applies strong domain knowledge to independently manage complex initiatives , contributing to fraud strategy development and ...

The Risk Management Policy Analyst will be responsible for leading efforts to shape risk management ... Recruitment fraud is on the rise, with scammers using misleading promises of job offers and ...

Risk Mgmt Policy Analyst

Chicago, IL · On-site

$81K - $135K/yr

The Risk Management Policy Analyst will be responsible for leading efforts to shape risk management ... Recruitment fraud is on the rise, with scammers using misleading promises of job offers and ...

... fraud/AML seam. * Manage the vendor and partner ecosystem at both levels: hands-on (rules ... The AI-assisted risk operation runs as a team-owned product: documented, version-controlled ...

Collaborates with Fraud Operations, Anti-Money Laundering, Compliance, Risk Management, Security, and Law Enforcement when necessary. * Monitors fraud trends and recommend enhancements to fraud ...

Analytics Analyst - Fraud

Chicago, IL · On-site

$63K - $83K/yr

... 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 ...

Minimum of 6 years of experience in supply chain risk management, with exposure to fraud and theft prevention within the transportation or logistics industry. * Prior experience in law enforcement or ...

Risk Manager

Chicago, IL · On-site +1

$118K - $132K/yr

Minimum of 6 years of experience in supply chain risk management, with exposure to fraud and theft prevention within the transportation or logistics industry. * Prior experience in law enforcement or ...

New

Fraud Analyst

Rosemont, IL · Hybrid

$50K - $65K/yr

... risk management or law enforcement * Prior Loan Servicing experience highly desireable * Fraud Case Management experience (Verafin, Alloy, Actimize, ACI, FIS Falcon, etc) * Proficient in computer ...

Fraud Liaison

Champaign, IL · On-site

$71K - $90K/yr

The Financial Crimes Liaison will coordinate fraud and financial crimes matters that impact ... Supports and collaborates with the Financial Crimes Risk Management Department and the Client ...

Showing results 21-40

Fraud Risk Management information

What are some common challenges faced in fraud risk management roles and how are they addressed?

Professionals in Fraud Risk Management often face challenges such as staying ahead of constantly evolving fraud tactics, analyzing large volumes of transactional data, and ensuring compliance with regulatory standards. To address these challenges, teams typically employ advanced analytic tools, collaborate cross-functionally with IT and compliance departments, and engage in continuous training to stay updated on emerging threats. The work environment is dynamic and may involve both independent analysis and team-based investigations, fostering a culture of vigilance and proactive risk mitigation. This dynamic landscape offers professionals the opportunity to develop specialized expertise and grow into senior risk or leadership roles over time.

What does a fraud risk management do?

A fraud risk management professional identifies, assesses, and implements strategies to detect and prevent fraudulent activities within an organization. They analyze data, develop controls, and monitor transactions to reduce financial losses and ensure compliance with regulations. Strong analytical skills and knowledge of fraud detection tools are essential in this role.

Is working in fraud risk management a good career?

Working in fraud risk management is a viable career option with demand across industries such as banking, finance, and e-commerce. It involves analyzing data, using tools like fraud detection software, and often requires certifications like Certified Fraud Examiner (CFE). The role offers opportunities for advancement and specialization in a growing field.

What are the key skills and qualifications needed for fraud risk management?

To thrive in Fraud Risk Management, you need strong analytical skills, attention to detail, and a solid understanding of financial systems, often supported by degrees in finance, accounting, or related fields. Familiarity with fraud detection software, data analysis tools like SQL or SAS, and industry certifications such as CFE (Certified Fraud Examiner) are highly valued. Excellent communication, problem-solving abilities, and ethical integrity are critical soft skills for collaborating with teams and handling sensitive investigations. These skills and qualities are essential to effectively identify, investigate, and mitigate fraud risks, protecting organizational assets and maintaining compliance.

What is fraud risk management?

A Fraud Risk Management job involves identifying, assessing, and mitigating risks related to fraudulent activities within an organization. Professionals in this role develop and implement policies, controls, and monitoring systems to prevent fraud and financial crimes. They work closely with compliance, legal, and operational teams to investigate suspicious activities and ensure regulatory compliance. The goal is to minimize financial losses and protect the organization's reputation.

What are the most commonly searched types of Fraud Risk Management jobs in Illinois? The most popular types of Fraud Risk Management jobs in Illinois are:
What job categories do people searching Fraud Risk Management jobs in Illinois look for? The top searched job categories for Fraud Risk Management jobs in Illinois are:
Infographic showing various Fraud Risk Management job openings in Illinois as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

$63K - $83K/yr

Full-time

Posted 18 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 an Analyst 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
Requirements:
  • A Bachelor's degree in a quantitative field (Statistics, Mathematics, Economics, Computer Science, or similar) or equivalent experience
  • Solid programming skills for data analysis - demonstrated through work, internships, coursework, or personal projects
  • Working knowledge of relational databases (SQL)
  • Foundational knowledge of statistical methods and machine learning
  • Comfort using AI tools to improve your workflow and delivery
  • Strong problem-solving instincts and a naturally inquisitive, dig-deeper mindset
  • Prior experience is not required; fraud, fintech, or lending exposure is a plus, interest in them is a must

Compensation:

This position includes various levels within our career ladder. The actual annual salary will be determined based on qualifications, skills, experience, and level assessed during the hiring process and may fall outside of the ranges shown. 

Budgeted annual salary ranges:

Analytics Analyst I: $63,000 - $83,000
Analytics Analyst II: $75,000 - $95,000

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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