Senior TMT Data Scientist

Balyasny Asset Management

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
New York, NY
Salary
$175,000–$250,000 / yr
Posted
15 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $166k
This role $212k
$104k most similar roles pay here $266k

This role pays more than 81% of similar roles. Most pay $134,312–$198,000 — the shaded band above. At the midpoint, this role pays about $212k versus about $166k for comparable roles.

Based on 240 similar postings.

Employer

About Balyasny Asset Management

Balyasny Asset Management (BAM) is a global multi-manager hedge fund offering diversified investment strategies across equities, macro, commodities, and systematic trading.

Balyasny Asset Management currently has 59 open roles on FindRole.

Listed pay typically runs $175,000–$250,000 across 30 roles with salary data.

Most-posted roles

View all roles at Balyasny Asset Management

At a glance

TL;DR · Senior TMT Data Scientist

The Senior TMT Data Scientist joins the Equities Data Science & AI team to support the high-growth TMT equities sector. In this role, you will collaborate directly with portfolio managers to identify investment debates, design data-driven research solutions, and build custom agentic AI workflows that accelerate the speed of insight. You will develop scalable data products, create accurate predictions using advanced mathematical and computational techniques, and shape sector-level data strategies. The position requires expertise in statistics, machine learning, and large-scale alternative dataset management. Technical requirements include proficiency in Python, Snowflake/SQL, Git, and Linux command-line tools, alongside practical experience with LLMs and prompt engineering. You will solve complex problems within the TMT investment space by translating technical concepts into actionable insights to drive alpha generation for equities portfolio managers through rigorous analytical inquiry.

What you'll do

  • Identify and frame key investment debates in the TMT equities sector using data-driven research.
  • Build custom agentic AI solutions to accelerate and enhance the portfolio managers' investment process.
  • Use advanced mathematical and computational techniques to create high-accuracy, low-latency predictions.
  • Lead the development of scalable data products that drive alpha generation for investment teams.
  • Develop and execute sector-level data strategies to increase product adoption across the TMT franchise.
  • Create innovative applications of data and AI while maintaining a high bar for analytical rigor.
  • Manage large-scale alternative datasets including panelization, mapping, and tagging processes.

What we're looking for

  • Candidates must have 7+ years of experience in data science, data analytics, or a related field.
  • A BS or MS in Mathematics, Finance/Economics, Computer Science, Statistics, Engineering, or Technology is required.
  • Proficiency in Python, Snowflake/SQL, and Git is required.
  • Working proficiency with Linux command-line tools and environments is required.
  • Candidates must have practical experience with LLMs, prompt engineering, coding agents, and multi-step workflow builds.
  • Strong knowledge of the TMT investing space and experience with key sector datasets are required.
  • Mastery of statistics, analytics, and machine learning to inform investment or business decisions is required.
  • Ability to distill complex technical concepts for non-technical audiences is required.

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