Sr. Quantitative Engineer

About the role

Design and oversee reusable, scalable software components, models, tests, and high-performance data pipelines that support Global Risk Management’s data and analytical capabilities. Collaborate with modelers, risk managers, technologists, and other stakeholders to improve processes, meet business and regulatory requirements, and maintain clear technical documentation. Requires a bachelor’s degree in a related field or equivalent work experience, along with at least seven years of relevant software engineering experience. Candidates should have strong programming and software lifecycle skills, analytical and communication abilities, and experience in at least three areas such as quantitative methods, large-scale data, user-facing applications, or process automation.