Senior Engineer, Systematic Research Technology

Balyasny Asset Management

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
London, United KingdomNew York, NY
Salary
$150,000–$250,000 / yr
Posted
75 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $169k
This role $200k
$124k most similar roles pay here $264k

This role pays more than 78% of similar roles. Most pay $144,350–$193,000 — the shaded band above. At the midpoint, this role pays about $200k versus about $169k 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 · Senior Engineer, Systematic Research Technology

As a Senior Engineer, Systematic Research Technology, you will join the Systematic Technology team to build Python-based research tooling and infrastructure designed to help quantitative researchers work efficiently with large financial and alternative datasets. Your daily responsibilities include developing orchestration frameworks for large-scale data analysis, feature generation, and research workflows while curating and managing diverse datasets with a focus on quality and consistency. You will improve data pipelines for ingestion, validation, transformation, and distribution while partnering with Quantitative Researchers to translate their needs into scalable engineering solutions. The role requires expertise in Python, MLOps practices, and optimizing GPU integration for research workloads. You will also manage research orchestration and distributed compute environments to ensure systems are reliable and efficient, specifically addressing the technical challenges of processing large-scale data within a systematic investing context.

What does a Engineer earn?

Median $185000 from 249 postings across 48 companies.

See salary data

What you'll do

  • Build and maintain Python-based research tooling and infrastructure.
  • Develop orchestration frameworks for large-scale data analysis and feature generation.
  • Curate and manage financial and alternative datasets to ensure quality and consistency.
  • Improve data pipelines for ingestion, validation, transformation, and distribution.
  • Translate quantitative research needs into scalable engineering solutions.
  • Support MLOps workflows including automation, experiment management, and reproducibility.
  • Optimize GPU integration and utilization across various research workloads.

What we're looking for

  • Strong software engineering skills with Python as a primary language.
  • Experience building research tooling, data infrastructure, or data-intensive platforms.
  • Experience working with large financial and/or alternative datasets.
  • Expertise in data curation and maintaining high standards of data quality.
  • Experience with research orchestration and large-scale data processing workflows.
  • Familiarity with MLOps practices and tooling.
  • Experience supporting or optimizing GPU-based research or machine learning workloads.
  • Experience in systematic investing or quantitative research environments (preferred).

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