Posted Jun 24, 2016 - Requisition No. 50180
Right now, there is 40 trillion dollars in outstanding US public and private bond market debt. The complex Structured Products market makes up nearly 10 trillion dollars of that debt. Wall Street banks use financial engineering to transform a variety of assets, such as residential and commercial mortgages, auto and student loans, and credit card debt, into securities that are structured to meet nearly any investor appetite. On the Structured Products Risk team, our mission is to provide indispensable predictive models and risk analytics that allow our users (investors) to effectively value the complexities inherent in Structured Product securitizations in both the US and International markets.
You will be a part of a team that applies unique quantitative models to analytical and algorithmic problems. We analyze large volumes of loan data to discover the correlations between market dynamics and borrower prepayment and default behaviors. We develop algorithms using a combination of C++ and Python leveraging large scale distributed computing architectures. You will make significant contributions to our product, while learning the complexities of the Structured Products domain. Finally, you'll gain market expertise through your collaboration with business managers, financial engineers and quantitative researchers.