Vice President, Electronic Cash Market Making Quantitative Engineering

Goldman Sachs

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
New York, NY
Salary
$150,000–$300,000 / yr
Posted
101 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $211k
This role $225k
$132k $318k
below market most similar roles pay here above market

This role pays more than 65% of similar roles. Most pay $175,375–$247,525 — the blue band above. At the midpoint, this role pays about $225k versus about $211k 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 71 open roles on FindRole.

Listed pay typically runs $140,000–$250,000 across 34 roles with salary data.

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At a glance

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

The GBM - Public, Electronic Cash Market Making, Quantitative Engineering, Vice President - New York role sits within the Electronic Market Making group. As a senior-level engineer, you will architect and build the foundational trading infrastructure for a major multi-phase ETF initiative. You will be responsible for developing high-performance trading systems and data infrastructure from scratch, focusing on custom bespoke solutions rather than off-the-shelf libraries. The role requires expert-level proficiency in C++ and strong low-level system design skills including memory management, concurrency, and performance optimization. You will work on high-volume, low-latency trading components and high-performance research infrastructure for large data inputs. Relevant skills include Python, numpy, and scikit-learn. This position involves solving technical problems related to international ETF expansion and evolving current architecture for operational robustness.

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 solutions instead of relying on off-the-shelf libraries or cloud tools.
  • Maintain operational robustness while upgrading architecture to support international expansion.
  • Deliver high-quality code with quick turnaround from testing to production implementation.
  • Participate in shaping 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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