We have a new exciting opportunity in Chicago, IL for data scientists to work with a leading multi-brand online consumer lender. This is a full-time hybrid 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 & Experience

• Experience in fraud detection and risk analytics
• Proficiency in Python (pandas, numpy, scikit-learn)
• Strong SQL skills (preferably PostgreSQL)
• Familiarity with Jupyter notebooks
• Model deployment experience
• Version control (Git/GitHub)

Desired Skills & Experience

• Experience with AWS (SageMaker, etc.)
• Docker for deployment
• Shell scripting/command line
• Real-time and batch fraud detection systems
• Strong communication and problem-solving skills
• Bachelor’s degree in Mathematics, Statistics, Physics, Engineering, or related field (Master’s/Ph.D. preferred)

Tech Breakdown

• 70% Python and machine learning (fraud modeling, anomaly detection)
• 20% SQL and data engineering
• 10% Docker, AWS tools, and deployment ops

Daily Responsibilities

• 80% Hands On
• 10% Management Duties
• 10% Team Collaboration

The Offer

• Competitive pay (bonus eligible)

You will receive the following benefits:

• Medical, Dental, and Vision Insurance
• Paid Vacation Time
• Remote or Hybrid Work Flexibility
• Casual work environment (jeans encouraged)
• Career advancement and ongoing skill development
• Gym 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-BF