Software Engineer, Physical Commodities Team (Intern)

Balyasny Asset Management

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Aalborg, Denmark
Employment
Intern
Posted
23 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $186k
$131k most similar roles pay here $241k

This listing doesn't post a salary. Most similar roles pay $141,805–$230,500.

Based on 240 similar postings.

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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.

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At a glance

TL;DR · Software Engineer, Physical Commodities Team (Intern)

The Software Engineer – Physical Commodities Teams (Summer Internship) joins the physical commodities investment team to develop tools supporting trading activities. In this role, you will collaborate with traders and analysts to translate business needs into technical solutions while building, maintaining, and scaling applications. Your daily responsibilities include designing and implementing quantitative models, conducting data analysis, creating visualizations, and developing dashboards to support trading processes. You will also document code and methodologies to facilitate knowledge sharing. The position requires a candidate with a degree in Computer Science who possesses strong programming skills in Python specifically for data analysis. You must be proficient with various data analysis and visualization tools and libraries. This role focuses on solving technical problems within the physical commodities sector, specifically by building software that supports investment activities and trading operations.

What does a Software Engineer earn?

Median $196750 from 2245 postings across 146 companies.

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What you'll do

  • Design, develop, and implement quantitative tools and models for the physical commodities investment team.
  • Translate business needs from traders and analysts into technical software solutions.
  • Develop, maintain, and scale applications using Python.
  • Perform data analysis to support model development and trading processes.
  • Create data visualizations and dashboards for internal use.
  • Document code, processes, and methodologies to facilitate knowledge sharing.

What we're looking for

  • Bachelor's or Master's degree in Computer Science.
  • Must be a student candidate with graduation dates of Winter 2027 or Spring 2028.
  • Strong programming skills in Python for data analysis, testing ideas, and models.
  • Familiarity and experience with data analysis and visualization tools and libraries.
  • Strong passion and interest in a career in trading, analytics, or energy.
  • Ability to thrive in a fast-paced environment with strong work ethics and a proactive attitude.
  • Strong written and verbal communication skills.

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