GBM, Public, ETF One Delta Strat - Quantitative Engineering

Goldman Sachs

Quick summary

Work type
On-site
Location
New York, NY
Salary
$150,000–$225,000 / yr
Posted
1 day ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $183k
This role $188k
$132k most similar roles pay here $235k

This role pays more than 53% of similar roles. Most pay $145,582–$220,900 — the shaded band above. At the midpoint, this role pays about $188k versus about $183k for comparable roles.

Based on 240 similar postings.

Employer

About Goldman Sachs

Goldman Sachs is a leading global investment banking, securities, and investment management firm providing financial services to corporations, financial institutions, governments, and individuals.

Goldman Sachs currently has 187 open roles on FindRole.

Listed pay typically runs $130,000–$250,000 across 60 roles with salary data.

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At a glance

TL;DR · GBM, Public, ETF One Delta Strat - Quantitative Engineering

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As a Software Engineer on the ETF One Delta Strats team within the ETF Trading Desk in NYC, you will play a critical role in maintaining and enhancing the systematic trading infrastructure for US equity ETFs. Your day-to-day responsibilities include identifying and resolving technical bottlenecks, providing real-time support to ensure system reliability during volatile market conditions, and designing high-performance systems that integrate Java-based trading infrastructure with proprietary Slang environments through JSI layer development. You will also translate complex quantitative models into production-grade code for risk management and pricing. Ideal candidates possess expert-level proficiency in Java and Python, experience with cross-language integration, and a deep understanding of software engineering best practices including CI/CD and performance profiling. Prior industry experience in systematic trading or HFT firms is preferred, as well as familiarity with ETF market microstructure and time-series data pipelines.

Skills

Java Python JSI Slang CI/CD Git ETL PostgreSQL Kafka Redis Zookeeper Hadoop Docker Kubernetes Prometheus Grafana AWS Azure Google Cloud Platform

What you'll do

  • Proactively identify and resolve technical bottlenecks in the trading lifecycle.
  • Provide expert-level real-time support for production trading systems.
  • Design and maintain high-performance tech stack for systematic trading.
  • Translate complex pricing models into robust, production-grade code.
  • Develop and optimize Java-Slang Integration layer for low-latency communication.

What we're looking for

  • Bachelor’s or Master’s degree in Computer Science or related technical field.
  • Expert-level proficiency in Java and Python.
  • Experience with proprietary languages and cross-language integration (JSI).
  • Deep understanding of software engineering lifecycles, including CI/CD and version control.
  • Exceptional debugging skills for complex distributed systems under time pressure.
  • Prior experience in systematic trading, HFT firm, or similar financial engineering roles.

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