Software Engineer II - Python

Description Job Responsibilities - Contribute to the design and build of our next gen analytics platform. - Working with other technologists, traders, and quants to deliver business solutions. - Apply quantitative and ML techniques to data analysis. - Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards. - Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation. - Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development Required qualifications, capabilities, and skills - Formal training or certification on software engineering concepts and 2+ years applied experience - Strong technologist with experience developing in Java or Python - Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated output. - Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations. - Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying language. - AWS or other cloud certifications is a bonus. Preferred qualifications, capabilities, and skills - CFA / CQF or other applied qualification is a bonus - Development experience in C#, HTML5 / JavaScript is a bonus - Deep and broad technology expertise in application, data and infrastructure architecture, with current experience of Python and Java, SQL & NoSQL databases, reactive and/or complex event processing is a bonus.