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Internship Predictive Modeling Jobs in Illinois (NOW HIRING)

Enova International

Analytics Analyst - Fraud

Chicago, IL · On-site

$63K - $83K/yr

Write customized programs in Python for meaningful data analysis and predictive modeling, and query ... Solid programming skills for data analysis - demonstrated through work, internships, coursework, or ...

MessageControl

Data Scientist

Chicago, IL · On-site

Build complex predictive models using Machine Learning and Deep Learning algorithms to ... Must have at least 3 years of professional experience outside of academic or internship settings.

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Internship Predictive Modeling information

What is the difference between Internship Predictive Modeling vs Data Analyst?

AspectInternship Predictive ModelingData Analyst
Required CredentialsTypically pursuing or recent graduate in data science, statistics, or related fieldsOften holds a degree in statistics, mathematics, or related disciplines
Work EnvironmentInternship setting, often in tech, finance, or marketing companiesFull-time or part-time roles in various industries including finance, healthcare, and retail
Employer & Industry UsageUsed in companies focusing on developing predictive models and machine learning applicationsCommon in organizations analyzing data trends, reporting, and decision-making

Internship Predictive Modeling focuses on developing and applying models to forecast outcomes, often as part of an internship program. Data Analysts interpret data, generate reports, and support business decisions. While both roles require analytical skills, predictive modeling emphasizes machine learning and statistical modeling, whereas data analysis centers on data interpretation and visualization.

What are the most commonly searched types of Predictive Modeling jobs in Illinois?

The most popular types of Predictive Modeling jobs in Illinois are:

Internship Predictive Modeling jobs near you

Analytics Analyst - Fraud

Enova International

Chicago, IL • On-site

$63K - $83K/yr

Full-time

Posted 29 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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