Quantitative Engineer: Big Data, Modeling & Risk

A leading financial institution is seeking a Quantitative Engineer Analyst in Chicago to apply quantitative methods and develop capabilities for risk management. You will build big data pipelines, produce documentation, and work collaboratively with stakeholders. Ideal candidates possess a Bachelor's degree in Computer Science, strong programming skills, and are curious. The role offers a salary range of $65,000.00 to $76,400.00 annually and comes with industry-leading benefits. #J-18808-Ljbffr