Senior TMT Data Scientist — AI-Driven Equity Research

Balyasny Asset Management L.P.; New York (NY); On-site; USD 150,000 - 210,000; Full time

Job summary

Balyasny Asset Management L.P. is seeking a Senior Data Scientist for the Equities Data Science & AI team in New York.

You will design data-driven solutions with portfolio managers, applying AI to accelerate and deepen investment insights, and build scalable data products for the TMT equities franchise. The role requires 7+ years in data science or analytics, strong statistics and ML foundations, and hands-on experience with LLMs, prompt engineering, Python, Snowflake/SQL, and Git.

Qualifications

• 7+ years in data science, data analytics, or related field.
• Knowledge of TMT investing space and sector datasets preferred.
• BS or MS in Mathematics, Finance/Economics, CS, Statistics, Engineering, or Technology.
• Crisp presentation and communication to non-technical audiences.
• Experience with AI applications: LLMs, prompt engineering, agents, multi-step workflows.

Responsibilities

• Partner with portfolio managers to frame key investment debates in TMT equities.
• Apply AI to custom agentic solutions to enhance research speed and depth.
• Forecast using advanced mathematical and computational techniques with low latency.
• Lead development of data products and scale analytics solutions for investment teams.
• Shape sector data strategies and drive adoption of data products across the franchise.
• Innovate with data and AI to push analytical boundaries while maintaining rigor.

Skills

Alpha-First Mindset

Technical Mastery

Sector Expertise

Proven Experience

Crisp Presentation

AI Applications

Coding

Education

BS/MS in Mathematics/Finance/CS/Statistics/Engineering

Tools

Python

Snowflake/SQL

Git

Linux CLI

Job description

Balyasny Asset Management L.P. is seeking a Senior Data Scientist for the Equities Data Science & AI team in New York.

You will design data-driven solutions with portfolio managers, applying AI to accelerate and deepen investment insights, and build scalable data products for the TMT equities franchise. The role requires 7+ years in data science or analytics, strong statistics and ML foundations, and hands-on experience with LLMs, prompt engineering, Python, Snowflake/SQL, and Git.