Quantitative Researcher, Alpha Capture

Balyasny Asset Management

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
New York, NY
Salary
$175,000–$200,000 / yr
Posted
124 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $195k
This role $188k
$131k $251k
below market most similar roles pay here above market

This role pays less than 52% of similar roles. Most pay $159,000–$230,887 — the blue band above. At the midpoint, this role pays about $188k versus about $195k 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 53 open roles on FindRole.

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

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View all roles at Balyasny Asset Management

At a glance

TL;DR · Quantitative Researcher, Alpha Capture

The Quantitative Researcher (Alpha Capture) joins the Alpha Capture team, a systematic investment group within L/S Equity. This role involves processing and analyzing structured and unstructured datasets to develop alpha signals using alternative data. The researcher will utilize state of the art data science techniques to forecast company fundamentals and KPIs while adopting a data-driven, fundamentally-motivated framework to generate and backtest new ideas. Key responsibilities include writing robust, peer-reviewed code to productionize improvements for investment strategies and communicating findings to the team. Candidates must possess skills in Python, R, SQL, and Unix/Linux shell scripting, alongside knowledge of probability, statistics, and data structures. The work focuses on identifying alpha within the Industrials, Energy, or B2B TMT sectors by analyzing financial statements and complex large datasets.

What you'll do

  • Process and analyze structured and unstructured datasets to identify investment opportunities.
  • Develop alpha signals by leveraging alternative data sources.
  • Use data science techniques to forecast company fundamentals and key performance indicators.
  • Generate and rigorously backtest new alpha generation ideas using a data-driven framework.
  • Write robust, peer-reviewed code to productionize improvements for investment strategies.
  • Communicate research findings to the team and iteratively refine ideas based on feedback.
  • Manage multiple concurrent projects and tasks to meet strict deadlines.

What we're looking for

  • Master's or PhD in Finance, Economics, Statistics, Financial Engineering, or related quantitative fields.
  • 1-3 years of working experience in quant research, equities, or buyside (preferred).
  • Solid knowledge of probability, statistics, finance, data structures, and algorithms.
  • Deep understanding of business fundamentals and strong finance intuition.
  • Familiarity with financial reporting and experience working with financial statements.
  • Excellent programming skills in Python, R, SQL, and Unix/Linux shell scripting.
  • Ability to process complex large datasets and apply appropriate statistical methods.
  • Sector-specific expertise in Industrials, Energy, or B2B TMT (preferred).

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