Engineer, Macro and Fixed Income Data Technology

Balyasny Asset Management

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
London, United KingdomNew York, NY
Salary
$150,000–$200,000 / yr
Posted
27 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $170k
This role $175k
$117k most similar roles pay here $223k

This role pays more than 54% of similar roles. Most pay $126,800–$212,562 — the shaded band above. At the midpoint, this role pays about $175k versus about $170k 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, Macro and Fixed Income Data Technology

As an Engineer, Macro and Fixed Income Data Technology, you will join the Macro Data team to build and support a world-class data platform for portfolio managers and their teams. You will design and build next-generation infrastructure covering ingestion, ETL, data quality, storage, cataloging, and APIs while collaborating with stakeholders like analysts, economists, and quantitative researchers. The role involves developing solutions that balance feasibility, stability, scalability, and time-to-market. You will utilize Python or other object-oriented languages alongside technologies including Spark, AWS Glue, Delta Lake, AWS Athena, Parquet, Git, Docker, and Kubernetes. Your work focuses on the macro trading business, addressing technical challenges in risk management and pricing. You will manage distributed systems components like databases, messaging, and caches to solve complex data engineering problems within a cloud-centric environment for financial market data.

What you'll do

  • Design and build a next-generation data platform covering ingestion, ETL, quality, storage, and APIs.
  • Develop batch and streaming ETL pipelines to support macro trading business requirements.
  • Manage data storage using column-oriented formats like Parquet and technologies such as Delta Lake or Spark.
  • Optimize query performance and perform code tuning for distributed systems components.
  • Build and maintain infrastructure using cloud-centric tools, including AWS Glue, Athena, Docker, and Kubernetes.
  • Translate business requirements from portfolio managers and analysts into technical engineering solutions.
  • Integrate financial market data from providers like Bloomberg and Reuters into the firm's platform.

What we're looking for

  • At least 3 years of work experience as a backend developer with expertise in Python or another object-oriented language.
  • Experience supporting a macro trading business and relevant products such as risk management and pricing systems.
  • Experience designing and building data platforms including batch/streaming ETL, data lake, warehouse, lakehouse patterns, and query optimization.
  • Experience with column-oriented storage formats like Parquet and tools such as AWS Glue, Delta Lake, Athena, or Spark.
  • Strong knowledge of distributed systems components like databases, messaging, and caches in a cloud-centric environment.
  • Experience with code optimization, performance tuning, Git (preferred), Docker, and Kubernetes.
  • Excellent communication skills.
  • Experience with financial market data from Bloomberg/Reuters or hedge fund industry software (preferred).

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