• Partnering with a cross-functional team of data scientists, software engineers, and product managers to deliver a product & services that help bankers, customers, and markets better understand risk and opportunity for a diverse set of functions.• Leveraging a broad stack of technologies — Python, R, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data• Building machine learning models through all phases of development, from design through training, evaluation, validation, and implementation

• Analyzing complex data, discovering insights, spotting trends and patterns, modeling and reporting findings.• Interpreting clients' needs and building business cases and proof of concepts for analytical solutions.• Working closely with deployment and testing teams to develop robust analytical solutions to meet client requirements for functionality, scalability and performance.