Analytics Analyst - Fraud

Posted Yesterday
Easy Apply
Chicago, IL, USA
In-Office
63K-95K Annually
Entry level
Fintech • Information Technology • Machine Learning • Software • Analytics • Financial Services
Work Someplace Awesome.
The Role
Develop, deploy, and monitor models and pattern-recognition algorithms to detect fraud across lending products. Write Python for analysis and modeling, query complex datasets with SQL, partner with Fraud Operations to refine features and reduce false positives/negatives, conduct ad hoc analyses, and communicate findings to support verification and underwriting improvements.
Summary Generated by Built In

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.

Benefits & Perks:

  • Our hybrid roles require in-office work Tuesday through Thursday, with remote flexibility on Mondays and Fridays. This schedule fosters collaboration, team connection, and strategic planning, enhancing communication and effectiveness to drive results.
  • Health, dental, and vision insurance including mental health benefits
  • 401(k) matching plus a roth option (U.S. Based employees only)
  • PTO & paid holidays off
  • Sabbatical program (for eligible roles)
  • Summer hours (for eligible roles)
  • Paid parental leave
  • DEI groups (B.L.A.C.K. @ Enova, HOLA @ Enova, Women @ Enova, Pride @ Enova, South Asians @ Enova, APEX @ Enova, and Parents @ Enova)
  • Employee recognition and rewards program
  • Charitable matching and a paid volunteer day…Plus so much more!

About Enova

Enova International is a leading financial technology company that provides online financial services through our AI and machine learning-powered Colossus™platform. We serve non-prime consumers and businesses alike, while offering world-class technology and services to traditional banks—in order to create accessible credit for millions. 

Being a values-driven organization is at the core of Enova’s success. We live our values by listening to our customers, challenging assumptions, thinking big, setting high expectations, and hiring and developing the best. Through our values and our commitment to making Enova an awesome place to work, we maintain an environment of inclusion and culture where our employees can thrive. You can learn more about Enova’s values and culture here

It is our policy to provide equal employment opportunity for all persons and not discriminate in employment decisions by placing the most qualified person in each job, without regard to any other classification protected by federal, state, or local law. California Applicants: Click here to review our California Privacy Policy for Job Applicants.

Skills Required

  • Bachelor's degree in a quantitative field (or equivalent experience)
  • Solid programming skills for data analysis (Python)
  • Working knowledge of relational databases (SQL)
  • Foundational knowledge of statistical methods and machine learning
  • Comfort using AI tools to improve workflow and delivery
  • Strong problem-solving instincts and an inquisitive mindset
  • Prior experience in fraud, fintech, or lending

What the Team is Saying

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Enova Compensation & Benefits Highlights

  • Healthcare Strength Health plans extend beyond essentials to include supplemental services and travel support when access to covered care is limited. Core medical, dental, and vision coverage is consistently positioned as comprehensive for full‑time employees.
  • Inclusive Benefits Coverage Coverage explicitly includes transgender health care and extensive fertility benefits, with provisions to support access when local options are unavailable. These elements signal attention to diverse employee needs.
  • Leave & Time Off Breadth Time‑off programs span PTO, paid holidays, volunteer time, summer‑hours flexibility, and a paid sabbatical after a tenure milestone. The mix emphasizes work‑life balance alongside standard leave.

Enova Insights

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The Company
HQ: Chicago, IL
1,848 Employees
Year Founded: 2004

What We Do

Enova International (NYSE: ENVA) is a leading online financial services company that serves small businesses and consumers who are underserved by traditional banks. For over 20 years, Enova has provided approximately $70 billion in loans and financing to nearly 15 million customers by offering a suite of market-leading products powered by the company's world-class analytics, machine learning algorithms and proprietary technology. You can learn more about the company and its portfolio of businesses at www.enova.com.

Why Work With Us

Our values encourage ownership and accountability, and we believe the best answer wins, regardless of whose answer it is. We pride ourselves on hiring smart and driven people who bring new and innovative ideas to the table. Our mentality is, "Work someplace awesome." Ready to join us?

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Enova Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Enova’s hybrid work model allows employees to work in the office T, W, and TH with the option to work from home on Monday and Friday.

Typical time on-site: 3 days a week
HQChicago, IL
Denver, CO
New York, NY
Learn more

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