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Fraud Analyst I Jobs (NOW HIRING)

Enova International

Analytics Analyst - Fraud

Chicago, IL · On-site

$63K - $83K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

As an Analyst on Enova's Fraud Analytics team, you'll be the quantitative engine of our fraud ... Analytics Analyst I: $63,000 - $83,000 Analytics Analyst II: $75,000 - $95,000 Additional ...

Ascensus

Senior Fraud Strategy Analyst

Newton, MA · On-site

$120 - $150/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Demonstrate Ascensus' I-Client service philosophy and Core Values of People Matter, Quality First ... Experience analyzing fraud rule performance and using data to assess outcomes, validate results ...

Collabera

Fraud Analyst (Call Center)

Phoenix, AZ

$18 - $22/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Fraud Analyst II reviews customer accounts for the prevention and detection of possible Fraud ... Tier I: Fraud and Call Center Exp * Tier II: Fraud and no Call Center or Call Center and no Fraud

Bank of Utah

Fraud Investigator

Ogden, UT · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

My name is Brady Shepherd, and I work as AVP, Fraud and Bank Security Officer. As an introduction ... The Fraud Analyst conducts independent investigations, performs interviews, and communicates ...

USALLIANCE Financial

Fraud Disputes Analyst

Rye, NY · On-site

$26.78 - $33.47/hr

  • Retirement

  • PTO

The Fraud Disputes Analyst is responsible for analyzing card transactions to identify and prevent ... this position (i.e., H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work ...

Stryker Corporation

$100 - $150/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Demonstrate Ascensus' I-Client service philosophy and Core Values of People Matter, Quality First ... Experience analyzing fraud rule performance and using data to assess outcomes, validate results ...

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Fraud Analyst I information

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How much do fraud analyst i jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for fraud analyst i in the United States is $30.68, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $33.89 per hour, depending on experience, location, and employer.

What does a Fraud Analyst I do?

A Fraud Analyst I is responsible for detecting and preventing fraudulent activities within financial transactions or accounts. They review suspicious transactions, analyze data for patterns of fraud, and report findings to help minimize losses. Typically, they work with banks, credit card companies, or retailers, and often collaborate with other departments to develop fraud prevention strategies. The position is often entry-level and involves using specialized software and analytical skills to investigate potential fraud cases.

What are the key skills and qualifications needed to thrive as a Fraud Analyst I?

To thrive as a Fraud Analyst I, you need strong analytical abilities, attention to detail, and a background in finance, business, or a related field. Familiarity with fraud detection software, data analysis tools like Excel or SQL, and sometimes certifications such as CFE (Certified Fraud Examiner) are typically required. Excellent problem-solving, communication skills, and integrity help professionals stand out in this role. These competencies ensure accurate identification and mitigation of fraudulent activities, protecting organizations from financial loss and reputational damage.

What are some of the most common challenges faced by a Fraud Analyst I, and how can they be managed?

Fraud Analyst I professionals often encounter challenges such as distinguishing between legitimate and suspicious activities in high volumes of transactions and keeping up with ever-evolving fraud tactics. Managing these challenges requires strong attention to detail, the ability to quickly learn new fraud detection tools, and ongoing collaboration with both technical teams and customer service representatives. Building a solid understanding of compliance regulations and staying updated with industry trends can also help new analysts adapt and excel. Regular training and mentorship from senior analysts are valuable for overcoming these initial hurdles.
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Infographic showing various Fraud Analyst I job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $63,822 per year, or $30.7 per hour.

Analytics Analyst - Fraud

Enova International

Chicago, IL • On-site

$63K - $83K/yr

Full-time

Posted 27 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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