Engineer, Risk Technology

Balyasny Asset Management

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
New York, NYLondon, United Kingdom
Salary
$175,000–$225,000 / yr
Posted
58 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $185k
This role $200k
$137k most similar roles pay here $234k

This role pays more than 62% of similar roles. Most pay $146,500–$222,800 — the shaded band above. At the midpoint, this role pays about $200k versus about $185k 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 · Engineer, Risk Technology

The Engineer, Risk Technology joins the Risk Technology team to build and support the Risk Research platform for internal risk management and research teams. The engineer will develop and maintain libraries and analytical functions to create new research used by portfolio managers and senior firm management. Day-to-day responsibilities include collaborating with clients to gather requirements, building technology to expand financial product and market coverage, and automating risk management processes. The role requires expertise in server-side Python, including advanced features like threading, multiprocessing, and asynchronous programming, alongside proficiency in Pandas, Numpy, Docker, Kubernetes, and AWS. Candidates should also possess skills in testing with pytest or unittest. This position focuses on the technical challenge of building next-generation risk analytics systems and modeling new asset classes within a complex financial services environment involving equities, fixed income, and credit.

What does a Engineer earn?

Median $185000 from 249 postings across 48 companies.

See salary data

What you'll do

  • Develop and maintain libraries and analytical functions for the Risk Research platform.
  • Design and develop technology solutions to expand financial product and market coverage.
  • Automate and improve internal risk management processes.
  • Gather requirements directly from clients to build tailored technical solutions.
  • Build next-generation risk analytics systems to support business expansion.
  • Model new asset classes to support firm growth.
  • Develop high-performance, horizontally scalable, and distributed computing systems.
  • Containerize applications using Docker and deploy them on Kubernetes and AWS.

What we're looking for

  • Bachelor's or advanced degree in computer science, engineering, or a related technology field.
  • 4+ years of software development experience with large-scale, high-performance, distributed computing systems (preferably in financial services).
  • Expertise in server-side Python with strong object-oriented programming skills.
  • Proficiency in Python's standard library and third-party modules like Pandas and Numpy.
  • Knowledge of advanced Python features including threading, multiprocessing, and asynchronous programming.
  • Skill in testing and debugging using frameworks such as pytest or unittest.
  • Proficiency in containerizing applications with Docker and deploying them on Kubernetes and AWS.
  • Experience in designing scalable systems and optimizing performance.
  • Expertise in technologies such as Kafka, Redis, MongoDB, and MS SQL (preferred).
  • Expertise in data analysis using SQL, Pandas, and REST API (preferred).
  • Experience working on a firm-wide risk system for Equities, Fixed Income, or Credit (preferred).
  • Knowledge of markets, financial derivatives, pricing/valuation, and risk analytics (preferred).
  • Expertise in an object-oriented programming language such as C#, Java, or C++ (preferred).

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