Data Engineer, Multi-Asset Arbitrage

Balyasny Asset Management

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
London, United KingdomNew York, NY
Salary
$175,000–$250,000 / yr
Posted
18 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $164k
This role $212k
$112k most similar roles pay here $265k

This role pays more than 83% of similar roles. Most pay $126,800–$202,000 — the shaded band above. At the midpoint, this role pays about $212k versus about $164k 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 · Data Engineer, Multi-Asset Arbitrage

As a Data Engineer, Multi-Asset Arbitrage, you will join a team responsible for building and supporting a world-class data platform designed to support portfolio managers. You will design, build, and grow the data plane for back-testing and other data-intensive applications while managing petabyte-level ingestion, ETL processes, data quality, storage, backfills, and APIs. Collaborating with quantitative engineers and researchers in a global environment, you will balance feasibility, stability, scalability, and time-to-market. The role requires expertise in SQL, timeseries databases, and big data stores using Python, Rust, or C++ alongside libraries like Pandas, Polars, Dask, Vaex, or PySpark. You will work with Parquet, Arrow, Kafka, and Redis while optimizing code performance. Experience with ClickHouse, Snowflake, and financial instruments such as risk management or portfolio management provides additional context for this role.

What does a Data Engineer earn?

Median $183138 from 214 postings across 58 companies.

See salary data

What you'll do

  • Design, build, and scale the data plane for back-testing and other data-intensive applications.
  • Manage petabyte-level ingestion, ETL processes, data quality, storage, and backfills.
  • Develop and maintain APIs to facilitate data consumption by portfolio managers and researchers.
  • Architect and build batch and streaming pipelines using data lake or warehouse patterns.
  • Optimize code performance and tune systems for high-scale distributed applications.
  • Implement column-oriented data storage and serialization formats like Parquet and Arrow.
  • Build application-level code, such as REST APIs, to expose core business logic.
  • Monitor and trace distributed systems using tools like Prometheus, Grafana, and Sentry.

What we're looking for

  • 5+ years of work experience in a data-intensive capacity building back-testing infrastructure or similar initiatives.
  • Demonstrable expertise in SQL and databases, especially timeseries and big data stores.
  • Strong skills in Python, Rust, or C++ and at least one data-manipulation library like Pandas, Polars, Dask, Vaex, or PySpark.
  • Experience architecting and building data platforms/ETLs including batch, streaming, and data lake/warehouse/lakehouse patterns.
  • Experience with column-oriented data storage and serialization formats such as Parquet or Arrow.
  • Strong knowledge of distributed application components like Kafka, Redis, or other messaging and caching tools.
  • Experience with ClickHouse, Snowflake, or similar technologies (preferred).
  • Experience with financial instruments or software in areas like research, risk management, or portfolio management (preferred).

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