Risk Engineer

Balyasny Asset Management

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Chicago, ILLondon, United KingdomNew York, NY
Salary
$200,000–$250,000 / yr
Posted
124 days ago
Freshness
Confirmed live today
Nearby
52 roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $180k
This role $225k
$130k $263k
below market most similar roles pay here above market

This role pays more than 80% of similar roles. Most pay $143,275–$216,271 — the blue band above. At the midpoint, this role pays about $225k versus about $180k 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 53 open roles on FindRole.

Listed pay typically runs $175,000–$250,000 across 37 roles with salary data.

Most-posted roles

View all roles at Balyasny Asset Management

At a glance

TL;DR · Risk Engineer

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The Risk Technology Platform Team is seeking a Risk Engineer to design, develop, and maintain critical risk reporting infrastructure and core components. In this role, you will build high-performance, scalable systems that empower risk managers to access and analyze large volumes of data efficiently. You will work throughout the software development lifecycle, collaborating with data engineers and DevOps to deliver end-to-end solutions. Key responsibilities include implementing systems with stringent performance requirements and driving best practices like automated testing and continuous integration. You must possess professional experience with C# and .NET, along with strong knowledge of T-SQL and relational or OLAP database design patterns. Preferred skills include experience with Snowflake, AWS, and Kubernetes to solve complex risk management and data warehousing problems.

Skills

C# .NET T-SQL SQL Snowflake AWS Kubernetes Automated Testing Data Warehousing OLAP Design Patterns Performance Tuning Regression Testing APIs

What you'll do

  • Design, develop, and maintain scalable risk reporting and analytics systems using C# and .NET.
  • Implement systems capable of processing large volumes of data with high performance and reliability.
  • Drive software engineering best practices including code reviews, automated testing, and CI/CD.
  • Proactively identify and resolve technical challenges to ensure platform stability and scalability.
  • Manage the full software development lifecycle from initial requirements through to final delivery.
  • Provide clear technical updates and documentation to both technical and non-technical stakeholders.

What we're looking for

  • 4+ years of professional software development experience with a strong focus on C# and .NET technologies.
  • Proven ability to work independently and take ownership of requirements in a remote or virtual team environment.
  • Deep expertise in designing and implementing scalable, performant systems and associated design patterns.
  • Experience building and supporting systems that process large datasets quickly and efficiently.
  • Demonstrated track record of delivering high-quality software with proficiency in automated testing frameworks and tools.
  • Strong knowledge of T-SQL and relational/OLAP database design patterns.
  • Bachelor’s or advanced degree in Computer Science, Mathematics, Engineering, or a closely related field.
  • Experience with data warehousing, Snowflake, AWS, Kubernetes, or the financial services domain (preferred).

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