Vice President, Electronic Cash Market Making Quantitative Engineering

Goldman Sachs

Confirmed live today High trust

Quick summary

Work type
On-site
Location
New York, NY
Salary
$155,000–$300,000 / yr
Posted
1 day ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $205k
This role $228k
$138k $317k
below market most similar roles pay here above market

This role pays more than 70% of similar roles. Most pay $164,375–$246,150 — the blue band above. At the midpoint, this role pays about $228k versus about $205k for comparable roles.

Based on 240 similar postings.

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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 84 open roles on FindRole.

Listed pay typically runs $130,000–$250,000 across 38 roles with salary data.

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At a glance

TL;DR · Vice President, Electronic Cash Market Making Quantitative Engineering

JOB TITLE: GBM - Public, Electronic Cash Market Making, Quantitative Engineering, Vice President - New York The Electronic Market Making group is seeking a Vice President to architect and build foundational trading infrastructure for a major multi-phase ETF initiative. In this high-impact role, you will develop high-performance trading systems and data infrastructure from scratch, focusing on custom bespoke solutions rather than off-the-shelf tools. You will be deeply involved in both software and strategy development, ensuring operational robustness while upgrading architecture for international expansion. The role requires expert-level proficiency in C++ and strong low-level system design skills, including memory management and concurrency. Preferred experience includes backgrounds in Telecom, Physics, or Mathematics research, as well as familiarity with Python and data-science packages like numpy and scikit-learn to optimize high-volume, low-latency trading components and research infrastructure.

What you'll do

  • Architect and build foundational trading infrastructure for a new ETF business line.
  • Develop high-performance trading systems and data infrastructure from scratch using C++.
  • Design low-level system components including memory management, concurrency, and performance optimizations.
  • Implement custom, bespoke software solutions instead of relying on off-the-shelf libraries.
  • Maintain operational robustness while upgrading current architecture to support international expansion.
  • Deliver high-quality code with quick turnaround from testing to production implementation.
  • Participate in and shape strategy decisions beyond technical software implementation.

What we're looking for

  • Bachelor's or Master's degree in a STEM discipline (Computer Science, Physics, Mathematics, or Engineering preferred).
  • 5 to 10 years of experience developing software architecture in C/C++.
  • Expert-level proficiency in C++ is mandatory.
  • Proven track record of architecting and building high-performance trading systems and data infrastructure from scratch.
  • Strong low-level system design capabilities, including memory management, concurrency, and performance optimization.
  • Background in Telecom, Physics research, or Mathematics research environments (preferred).
  • Experience building and maintaining high-performance research infrastructure for very large data inputs (preferred).
  • Experience optimizing high-volume, low-latency trading components (preferred).

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