Credit Fraud Data Scientist

We have a new exciting opportunity in Chicago, IL for data scientiststo work with a leading multi-brand online consumer lender.This is a full-timehybrid position focused on applying cutting-edge data science to detect and mitigate fraud.You’ll use tools like Python, SQL, and AWS to develop and deploy machine learning models that protect our customers and business.Looking for a high-impact role where you can fight fraud with data? Join our collaborative data science team and help shape the future of fraud prevention in FinTech. You'll own models from concept to production, work alongside some of Chicago's smartest FinTech pros, and enjoy a casual, supportive culture with growth opportunities. Whether you’re strong in Python or anomaly detection—or want to learn it all—we want you on our team.Required Skills & ExperienceExperience in fraud detection and risk analyticsProficiency in Python (pandas, numpy, scikit-learn)Strong SQL skills (preferably PostgreSQL)Familiarity with Jupyter notebooksModel deployment experienceVersion control (Git/GitHub)Desired Skills & ExperienceExperience with AWS (SageMaker, etc.)Docker for deploymentShell scripting/command lineReal-time and batch fraud detection systemsStrong communication and problem-solving skillsBachelor’s degree in Mathematics, Statistics, Physics, Engineering, or related field (Master’s/Ph.D. preferred)What You Will Be DoingTech Breakdown70% Python and machine learning (fraud modeling, anomaly detection)20% SQL and data engineering10% Docker, AWS tools, and deployment opsDaily Responsibilities80% Hands On10% Management Duties10% Team CollaborationThe OfferCompetitive pay (bonus eligible)You will receive the following benefits:Medical, Dental, and Vision InsurancePaid Vacation TimeRemote or Hybrid Work FlexibilityCasual work environment (jeans encouraged)Career advancement and ongoing skill developmentGym and bike room onsite (if hybrid in Chicago)Applicants must be currently authorized to work in the US on a full-time basis now and in the future. #LI-BF1 #J-18808-Ljbffr

Created: 2025-09-17