Senior Research Engineer, Python Tools for Large-Scale Data

Balyasny Asset Management L.P.; New York (NY); On-site; USD 170,000 - 230,000; Full time

Job summary

Balyasny Asset Management L.P. in New York seeks a Senior Research Engineer to build Python-based research tooling and infrastructure that empowers quantitative researchers to work efficiently with large financial and alternative datasets.

The role emphasizes data curation, research orchestration, scalable data processing, and MLOps, with a focus on GPU optimization and reproducible workflows. You will partner with researchers and platform teams to deliver scalable, reliable systems.

Qualifications

• Experience building research tooling, data infrastructure, or data-intensive platforms.
• Strong data curation and large-scale data processing experience.
• Familiarity with MLOps practices and GPU-accelerated workloads.

Responsibilities

• Build and maintain research tooling and infrastructure in Python.
• Develop orchestration frameworks for large-scale data analysis.
• Curate and manage broad financial and alternative datasets with quality focus.
• Improve data pipelines for ingestion, validation, transformation, and distribution.
• Partner with Quant Researchers to translate needs into scalable solutions.
• Support MLOps workflows including automation and experiment management.
• Optimize GPU integration across research workloads.
• Ensure scalable, reliable research systems with infra teams.

Job description

Balyasny Asset Management L.P. in New York seeks a Senior Research Engineer to build Python-based research tooling and infrastructure that empowers quantitative researchers to work efficiently with large financial and alternative datasets.

The role emphasizes data curation, research orchestration, scalable data processing, and MLOps, with a focus on GPU optimization and reproducible workflows. You will partner with researchers and platform teams to deliver scalable, reliable systems.