Quantitative Engineer Analyst - Data & Risk Analytics

A leading financial institution is looking for a Quantitative Engineer Analyst in Chicago. This entry-level role focuses on designing and implementing scalable software components for data analysis and risk management. Candidates should have a Bachelor's degree in Computer Science and strong programming skills, preferably in Python. The compensation ranges from $65,000 to $76,400 annually with benefits eligibility, and applicants will work in an in-office environment. #J-18808-Ljbffr