Risk Technology Production Engineer

Balyasny Asset Management

Confirmed live 2 days ago High trust

Quick summary

Work type: On-site
Location: New York, NY
Salary: $150,000–$200,000 / yr
Posted: 46 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $179k

This role $175k

$131k most similar roles pay here $223k

This role pays more than 51% of similar roles. Most pay $146,125–$211,200 — the shaded band above. At the midpoint, this role pays about $175k versus about $179k 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.

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At a glance

TL;DR · Risk Technology Production Engineer

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The Risk Technology Production Engineer supports risk applications and their integration with front, middle, and back-office systems within a cloud-based platform utilizing Jupyter Notebooks. Working as part of a global follow-the-sun support team, the individual will provide first and second-line support for risk applications, troubleshoot issues reported by users or alerting systems, and collaborate with development teams from requirements gathering through production deployment. Key responsibilities include implementing application monitoring, managing automated jobs in central schedulers, and developing automation solutions to reduce operational toil. The role requires proficiency in Python, Pandas, Polars, NumPy, Conda, and UV, along with SQL expertise in MSSQL and Snowflake. Technical skills also include experience with ActiveBatch, Airflow, Docker, Kubernetes, Linux, Windows, Bash, PowerShell, and monitoring tools like ITRS Geneos and the Grafana LGTM stack.

Skills

Python SQL Snowflake AWS Kubernetes Docker Airflow ActiveBatch Jira Pandas Polars NumPy Conda UV Bash PowerShell ITRS Geneos Grafana Linux Windows

What you'll do

Provide first and second line support for risk applications reported by users or automated alerting systems.
Troubleshoot and implement risk management code within a cloud-based platform using Jupyter Notebooks.
Develop automation solutions to eliminate repetitive manual work and reduce operational toil.
Set up and monitor automated jobs in central schedulers like ActiveBatch and Airflow.
Implement and maintain application-specific monitoring using ITRS Geneos, LGTM stacks, and other APM tools.
Support development teams through the full lifecycle from requirements gathering to production deployment.
Coordinate with external vendor support teams to resolve technical and functional issues.
Educate end-users on new product implementations and roll out system updates.

What we're looking for

2-5 years of experience working with investment banks, investment advisors, or associated software vendors.
Experience with at least one major asset class and associated modeling and market data.
Strong troubleshooting skills to interpret and troubleshoot internally developed systems.
Experience in software deployment, administration, and support.
Proficiency in Python development tools, including Pandas, Polars, NumPy, Conda, and UV.
Strong SQL experience across various database implementations, including MSSQL and Snowflake.
Experience with Linux/Windows administration, scripting (Bash, PowerShell), AWS/Cloud, Docker, Kubernetes, and scheduling tools like ActiveBatch or Airflow.

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