Power Algo Trader

Balyasny Asset Management

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Aalborg, DenmarkCopenhagen, Denmark
Posted
31 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $177k
$124k most similar roles pay here $231k

This listing doesn't post a salary. Most similar roles pay $134,012–$220,900.

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.

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At a glance

TL;DR · Power Algo Trader

The ID Power Algo Trader joins the team to drive intraday power trading activities through advanced modeling and algorithmic execution. In this role, you will develop fair value models for intraday markets, implement algorithms that integrate these models with market dynamics, and compile high-quality datasets combining fundamental and real-time data. You will monitor model parameters against shifting liquidity regimes, identify structural risks, and collaborate with engineering teams to scale automated decision-making systems. The position requires expertise in predictive modeling, machine learning, and time-series analysis within continuous markets such as prediction markets or crypto. Essential technical skills include proficiency in Python and SQL, with a deep understanding of the machine learning ecosystem. Candidates must possess strong analytical depth to translate ambiguous problems into structured models while navigating complex pricing mechanics and market structures.

What you'll do

  • Develop fair value models specifically for intraday power markets.
  • Implement algorithms that integrate models with market dynamics to inform trading strategies.
  • Compile high-quality datasets by integrating fundamental and real-time market data.
  • Monitor and adjust model parameters in response to shifting market conditions and liquidity regimes.
  • Identify and proactively address model limitations, edge cases, and structural risks.
  • Work with engineering teams to optimize infrastructure and scale automated decision-making systems.

What we're looking for

  • Master’s degree in Mathematics, Economics, Engineering, or a related field.
  • A PhD will be considered an advantage (preferred).
  • Minimum of 3 years of experience.
  • Extensive experience with continuous trading in prediction markets, betting platforms, crypto, or traditional markets.
  • Expertise in predictive modeling and machine learning with a focus on time-series analysis.
  • Proficiency in Python and SQL with deep knowledge of the data and machine learning ecosystem.
  • Experience in a statically typed programming language (preferred).
  • Fluency in English is required.

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