A global institutional investment firm is looking to solve the problem of delivering consistent, uncorrelated, absolute returns in the Healthcare sector through research, innovation, and collaboration.
Requirements
- Proficiency in Python and SQL.
- Experience or familiarity with LLMs and prompt engineering.
- Familiarity with data analytics tools (Databricks/Spark, Snowflake)
- Familiarity with visualization tools (matplotlib, plotly, Tableau)
- Familiarity with cloud infrastructure (AWS/GCP/Azure)
- Deep knowledge and intellectual curiosity in Healthcare, including healthcare claims data analysis and medical trial simulation modeling.
Responsibilities
- Partner with Portfolio Managers to identify and frame key investment debates in the Healthcare sector.
- Use advanced techniques like LLMs, graph analytics, and machine learning to create high-accuracy, low-latency predictions.
- Leverage AI to extract insights and deliver solutions for Portfolio Management teams.
- Lead the development of data products and scale solutions to drive alpha generation.
- Contribute to sector-level data strategies and drive engagement and adoption of the team’s products.
- Innovate with investment staff to brainstorm creative applications of data in the investment process.
Other
- 4+ years in data science, data analytics, or a related field.
- BS or MS in mathematics, finance/economics, computer science, information management, statistics, engineering, or technology.
- Plus Bonus
