Balyasny Asset Management (BAM) is seeking to enhance its investment strategies by leveraging data science and artificial intelligence to identify investment opportunities and generate alpha, particularly within the Healthcare sector.
Requirements
- experience or familiarity with LLMs and prompt engineering.
- Deep knowledge and intellectual curiosity in Healthcare; experience in key domains including healthcare claims data analysis, medical code mapping, data panelization and backfill, medical trial simulation modeling, exploratory data analysis (EDA).
- 4+ years in data science, data analytics, or a related field.
- Python and SQL.
- Experience with any of the following is a plus: data analytics (Databricks/Spark, Snowflake, Jupyter), visualization tools (matplotlib, plotly, Tableau), web application frameworks (Dash, streamlit), cloud infrastructure (AWS/GCP/Azure, Apache Airflow, Jenkins, Docker), and Excel.
- Solid command of statistics and analytics with a proven track record of informing investment or business decisions.
Responsibilities
- Design and conduct data-driven research to address key investment debates in the Healthcare sector.
- Use advances techniques (LLMs, graph analytics, machine learning, Bayesian frameworks) to create predictions which have high accuracy and low latency.
- Use the latest in LLMs and BAM’s AI infrastructure to extract insights and deliver Agentic solutions for our Portfolio Management teams.
- Lead the development of data products and scale solutions that empower investment teams and drive alpha generation.
- Contribute to the development and execution of sector-level data strategies, driving engagement and adoption of the team’s products.
- Brainstorm creative applications of data in the investment process, pushing the boundaries of what’s possible.
- Collaborate directly with portfolio managers to design and deliver data-driven solutions that address the most pressing investment debates and unlock new sources of alpha.
Other
- Partner with Portfolio Managers: Identify and frame key investment debates in the Healthcare sector, and design and conduct data-driven research to address them.
- Alpha-First Mindset: A passion for delivering value to investment teams by questioning the consensus and looking for informational advantages in data.
- Continuous Pursuit of Excellence: The ability to deliver results and an internal drive to constantly iterate and improve.
- Sector Expertise & Curiosity: Deep knowledge and intellectual curiosity in Healthcare.
- Crisp Presentation & Communication: Ability to distill complex technical concepts to non-technical audiences. Motivation to understand and integrate both up and downstream processes.
