The Structured Finance Analytics group (SFA) covers a wide range of analytic products supporting the Global Structured Finance group (GSF). This includes the development and maintenance of quantitative rating methodologies, cash flow analytics on live transactions. data analytics and strategy, and work on a variety of high-value strategic projects across DBRS. The SFA Solutions group sits with the SFA group, with a mission statement to "Forge strong connections, enhance efficiency, and elevate visibility to empower GSF to achieve outstanding results". The team's responsibilities include: Acting as a central point of contact for the SFA organization, coordinating across teams and developing solutions for cross-disciplinary projects Project intake and Prioritization for all GSF projects, supporting all asset classes, including RMBS, CMBS, ABS, Structured Credit, and Esoteric products Analytical guidance and quantitative development work for methodology development projects, especially to support DBRS's expansion into new product areas Liaise with our Methodology Review function and provide strategic counsel for methodology discussions Serve as a cross-disciplinary knowledge base across core competency concepts, including analytics, credit, project management, and technology The SFA Solutions team is seeking a Python developer to focus on data analysis and the development of predictive algorithms for assets across the Structured Finance space, as well as provide support on a variety of ad hoc projects for the Global Structured Finance organization. Finance experience is preferred, but you will be offered extensive training in the credit rating analytics and securitization modeling ecosystem. This senior analyst-level role reports to the Senior Vice President who leads the Solutions team. You will be expected to help mentor other junior analysts, especially to help guide in best practices for coding and version control.