- The data science and innovation team is looking for a data scientist with extensive experience in LLM and other machine learning or data science areas
- Design and implement AI workflows to solve business problems
- Deploy AI solutions to productions and iterate based on user feedback
- Independently conduct research on idea generation in the investment process and corporate function support
What Qualifications or skills should you possess in this role
- Formal training in quantitative discipline (Computer Science, Physics, Mathematics, Finance, Engineering, or other quantitative discipline), and experience in utilizing those skills in an applied research environment
- LLM experience in industry settings is a must
- Strong in software engineering and best practices (e.g. code smell, single-responsibility principle, functional programming)
- Strong in statistical fundamentals, experience conducting hypothesis testing and sampling highly desirable, with demonstrated programming skills highly desirable
- Understanding of financial markets, including multi-asset research is a plus
- Understanding of data available in the investment management industry and experience in managing and accessing such data to support research efforts
- Ability to work efficiently and multi-task effectively in a fast-paced and team-oriented environment. This will include end-to-end research project work under from data gathering to hypothesis testing and model implementation
- At least 3 years of hands-on engineering experience with software projects related to data science or machine learning
- Good communication skills. Able to explain results of their work clearly to stakeholders
