Quick summary

Work type
On-site
Location
London, United KingdomNew York, NYHouston, TX
Salary
$200,000–$225,000 / yr
Posted
2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $175k
This role $212k
$130k most similar roles pay here $235k

This role pays more than 77% of similar roles. Most pay $141,383–$208,830 — the shaded band above. At the midpoint, this role pays about $212k versus about $175k 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–$242,500 across 26 roles with salary data.

Most-posted roles

View all roles at Balyasny Asset Management

At a glance

TL;DR · Job Detail

Balyasny Asset Management seeks a Quantitative Researcher to join its Commodities team in a front-office position focused on developing quantitative models and analytical frameworks to support the physical commodity transport, storage, and logistics business. The role involves partnering with engineers and collaborating closely with portfolio managers, traders, and analysts to enhance a best-in-class platform by building tools for scenario analysis, forecasting, optimization, and valuation. Ideal candidates possess strong C++ and Python skills, at least five years of experience in quantitative research or commodities-related fields, and expertise in areas such as time series analysis, stochastic modeling, and network flow models. Familiarity with physical commodity markets, including energy markets, inventory economics, and logistics constraints, is essential, along with a deep interest in applying quantitative methods to real-world investment decisions.

What you'll do

  • Develop quantitative models and analytical frameworks for new and existing commodities products.
  • Build tools for scenario analysis, forecasting, optimization, and valuation of commodity markets.
  • Translate market structure and operational realities into rigorous quantitative research outputs.
  • Generate differentiated market insights and actionable trade ideas by working with portfolio managers.
  • Contribute to the development of a best-in-class analytics platform used by the investment team.

What we're looking for

  • PhD or MSc in a quantitative discipline such as mathematics, physics, computer science, engineering, statistics, economics, or operations research.
  • At least 5 years of experience in quantitative research, commodities, logistics, or applied modeling.
  • Strong C++ and Python skills for building high-performance analytical libraries and models.
  • Expertise in probability, statistics, linear algebra, optimization, and numerical methods.
  • Experience with time series analysis, forecasting, simulation, and stochastic modeling.
  • Knowledge of physical commodity markets, including energy markets, logistics, and infrastructure constraints.
  • Ability to formulate market questions into testable hypotheses and generate practical research outputs.

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