Senior Data Scientist, Equities

Balyasny Asset Management

Confirmed live today High trust

Quick summary

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

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $169k
This role $212k
$104k $266k
below market most similar roles pay here above market

This role pays more than 78% of similar roles. Most pay $135,000–$203,087 — the blue band above. At the midpoint, this role pays about $212k versus about $169k 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 47 open roles on FindRole.

Listed pay typically runs $175,000–$250,000 across 37 roles with salary data.

Most-posted roles

View all roles at Balyasny Asset Management

At a glance

TL;DR · Senior Data Scientist, Equities

The Senior Data Scientist - Equities joins the Equities Data Science & AI team to support the large and high-growth TMT equities sector. In this role, you will partner directly with portfolio managers to design data-driven solutions, build custom agentic AI workflows, and develop scalable data products that accelerate research breadth and speed to insight. You will use advanced mathematical and computational techniques to create accurate, low-latency predictions while managing large-scale alternative dataset processes like panelization, mapping, and tagging. Required technical skills include Python, Snowflake/SQL, Git, and Linux command-line tools, alongside expertise in statistics, machine learning, and LLM prompt engineering. You must apply these tools to solve complex investment debates, evaluate model limitations, and drive alpha generation within the TMT investing space.

What does a Data Scientist earn in New York?

Median $173200 from 42 postings across 19 companies.

See salary data

What you'll do

  • Design and conduct data-driven research to address critical TMT equities investment debates.
  • Build custom agentic AI solutions to accelerate the breadth and speed of investment research.
  • Use advanced mathematical and computational techniques to create high-accuracy, low-latency predictions.
  • Lead the development and scaling of data products to drive alpha generation for investment teams.
  • Develop and execute sector-level data strategies to increase product adoption across the franchise.
  • Brainstorm and implement creative applications of data and AI to improve the investment process.
  • Manage large-scale alternative datasets including panelization, mapping, and tagging processes.

What we're looking for

  • 7+ years of experience in data science, data analytics, or a related field.
  • BS or MS in Mathematics, Finance/Economics, Computer Science, Statistics, Engineering, or Technology.
  • Solid command of statistics, analytics, and machine learning to inform investment or business decisions.
  • Knowledge of the TMT investing space and direct experience working with key sector datasets.
  • Equities investment experience (preferred).
  • Practical experience harnessing LLMs, prompt engineering, coding agents, and multi-step workflow build-outs.
  • Proficiency in Python, Snowflake/SQL, and Git, with working proficiency in Linux command-line tools.
  • Familiarity with software engineering design principles (preferred).

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