Entry-Level Quantitative Engineer, Risk Analytics

A leading financial institution in Chicago is seeking a Quantitative Engineer Analyst to apply quantitative methods for risk management. This entry-level position requires a Bachelor's in Computer Science and strong programming skills, particularly in Python. The role involves building big data pipelines and collaborating with various stakeholders to meet modeling and testing specifications. This opportunity offers a salary between $65,000 and $76,400 annually, along with comprehensive benefits. #J-18808-Ljbffr