Quantitative Researcher/Trader, Associate

Balyasny Asset Management

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Hong Kong, ChinaLondon, United KingdomNew York, NYDubai, United Arab Emirates
Salary
$150,000–$225,000 / yr
Posted
78 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $166k
This role $188k
$114k most similar roles pay here $237k

This role pays more than 69% of similar roles. Most pay $126,800–$205,000 — the shaded band above. At the midpoint, this role pays about $188k 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 · Quantitative Researcher/Trader, Associate

The Quantitative Researcher/Trader, Associate joins a Systematic Portfolio Management team to support research initiatives and execute quantitative trading strategies. Working alongside a Systematic Portfolio Manager, the individual focuses on Quantitative Event-Driven trading by designing and implementing statistical arbitrage strategies through idea generation, back-testing, and analysis. Daily responsibilities include developing portfolio risk models, maintaining a Python-based systematic trading codebase for reliability and efficiency, performing end-of-day trade log organization, recording daily P&L, and ensuring the integrity of large-scale security data through rigorous cleaning and validation. The role requires proficiency in Python and pandas, alongside strong analytical modeling skills and excellent English communication. Candidates must possess a Master’s degree in Mathematics, Physics, or a related quantitative field and have experience in quantitative research or data analysis to solve complex financial problems within the systematic trading domain.

What you'll do

  • Design and implement statistical arbitrage trading strategies through idea generation and back-testing.
  • Develop and maintain portfolio risk models.
  • Improve the Python-based systematic trading codebase for reliability and efficiency.
  • Perform end-of-day processes including trade log organization and P&L recording.
  • Assist with compliance procedures and regulatory reporting.
  • Clean, maintain, and validate large-scale security data to ensure integrity.
  • Execute ad hoc analytical projects to expand financial and analytic knowledge.

What we're looking for

  • Master’s degree in Mathematics, Physics, or a related quantitative field from a top-ranking institution.
  • 1 to 5 years of experience in quantitative research, data analysis, or a related technical field.
  • Proficiency in Python and pandas.
  • Strong analytical and modeling skills.
  • Excellent written and verbal communication skills in English.
  • Prior financial experience (preferred).
  • Must be exceptionally motivated, detail-oriented, hard-working, and of the highest integrity.

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