Job Detail

Balyasny Asset Management

Quick summary

Work type: On-site
Location: London, United Kingdom
Posted: 2 days ago
Nearby: 63 roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $176k

$131k most similar roles pay here $230k

This listing doesn't post a salary. Most similar roles pay $141,383–$210,025.

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–$242,500 across 26 roles with salary data.

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Job Detail 47

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At a glance

TL;DR · Job Detail

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As a Senior Engineer in the commodities data team at Balyasny, you will work at the intersection of front office trading and central data services, designing and building low-latency pipelines for critical data sources used directly by traders. Your responsibilities include maintaining trade-critical systems on an on-call rota, resolving production issues swiftly, and ensuring clear communication with technical users such as PMs and quants. You will leverage Python for custom data transformation and pipeline development, SQL for complex database modeling across Snowflake and Clickhouse, and Kubernetes and Docker for containerized infrastructure. Additionally, you will support platform migrations to cloud-native environments and integrate diverse external data sources, contributing to the team’s mission of optimizing performance in commodities trading.

Skills

Python SQL Kubernetes Docker Kafka Git CI/CD TDD Apache Airflow Snowflake Clickhouse

What you'll do

Design, build, and own low-latency pipelines for critical data sources.
Manage on-call responsibilities to resolve production data incidents promptly.
Serve as a subject matter expert for PMs and quants on data issues.
Ensure high engineering standards through code reviews and testing processes.
Integrate and normalize non-standard external data sources for the team.

What we're looking for

5+ years experience in data engineering with ownership of production systems.
Built low latency or near real-time data pipelines and managed trade-critical systems.
Directly supported front-office users by resolving technical issues efficiently.
Experience working on long-term platform migrations to containerized, cloud-native infrastructure.
Expertise in Python for production services and custom data transformations.
Proficient in SQL for complex modelling across Snowflake/Clickhouse databases.

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