Senior Data Scientist, Cross-Sector and Thematic Research

Balyasny Asset Management

Confirmed live yesterday High trust

Quick summary

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

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $168k
This role $212k
$101k most similar roles pay here $266k

This role pays more than 78% of similar roles. Most pay $131,770–$203,900 — the shaded band above. At the midpoint, this role pays about $212k versus about $168k 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 Data Scientist, Cross-Sector and Thematic Research

As a Senior Data Scientist, Cross-Sector and Thematic Research, you will join the Data Science team as a senior generalist supporting cross-sector, thematic, and high-priority investment research. You will be responsible for identifying and executing analytical research opportunities across various business models while translating broad investment questions into testable data science workflows and actionable outputs. Your daily work involves developing differentiated signals from alternative datasets, evaluating data quality for bias and seasonality, and building repeatable tools and screens to identify investment insights. The role requires expert proficiency in Python and SQL to manage large, messy, real-world datasets. You will solve complex problems by transforming ambiguous research requests into concrete analyses, providing flexible support across different investment teams to address coverage gaps while communicating nuanced findings regarding confidence levels and interpretation risks to senior stakeholders.

What does a Data Scientist earn in New York?

Median $173200 from 38 postings across 17 companies.

See salary data

What you'll do

  • Translate broad investment questions into testable data science workflows and analytical outputs.
  • Identify and execute research opportunities across various sectors, themes, and business models.
  • Develop differentiated signals and analytical frameworks from both established and emerging alternative datasets.
  • Evaluate dataset quality, coverage, bias, seasonality, and signal durability for investment use.
  • Build repeatable tools, screens, and research outputs for use across multiple companies and themes.
  • Triage and prioritize incoming requests based on potential investment impact and feasibility.
  • Communicate results clearly to stakeholders, including limitations and interpretation risks.
  • Partner with Data Engineering to productionize high-value signals where appropriate.

What we're looking for

  • 5–10+ years of experience in data science, alternative data, investment research, commercial analytics, or a related analytical role.
  • Experience working with investment teams, research teams, or senior business stakeholders.
  • Strong technical skills in Python and SQL.
  • Hands-on experience working with various alternative datasets and large, messy, real-world datasets.
  • Ability to evaluate dataset quality, bias, representativeness, seasonality, and signal robustness.
  • Ability to translate ambiguous investment or business questions into concrete analyses.
  • Strong communication skills to present nuanced findings to senior stakeholders.
  • Sector-specific experience in Industrials, Consumer, or TMT (preferred).

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