Capstone Investment Advisors is looking to leverage data and AI to drive investment strategies, uncover unique insights, and identify alpha opportunities by integrating diverse data sources and AI solutions.
Requirements
- 2+ years of hands-on experience as a data scientist analyzing financial data sets and building data science solutions
- Strong analytical and data processing skills (Python), and ability to write production ready code
- Experience working with structured and unstructured data
- Familiarity of language models, vector databases and prompt engineering
- Prior experience in the investment management industry
- CFA qualified a plus
Responsibilities
- Partner with AI researchers to integrate data and fine-tune LLMs for investment research and trade ideas
- Assist in the development and implementation of AI models including LLMs and data pipelines
- Analysis, design and curation of core data products that can be integrated into our central data and AI platform
- Analyze traditional and alternative datasets using statistical techniques
- Collaborate with PMs and traders to build data science tools that align with their investment process
- Contribute to the design and implementation of our central data and AI platform
- Play a key role in developing and maintaining scalable data pipelines, incorporating data analytics, dashboards and optimized data management processes for accuracy
Other
- The ideal candidate possesses exceptional problem-solving skills, collaborative mentality, and an ability to bring innovative ideas to life.
- The ideal candidate is an intellectually curious self-starter, who wants to develop skills in a fast-paced environment, has the ability to be proactive, responsive and multi-task efficiently, and a desire to create relationships across Capstone through collaborative work with the firm’s Investment, Technology, Operations, Finance and other teams.
- The candidate should be humble, results-oriented and have the flexibility to adapt to quickly changing circumstances and priorities.
- Excellent written and verbal communications skills are necessary for success in this role.
- Excellent communication skills and the ability to work with, and inspire, a wide cross section of data professionals.
