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.
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