GBM - Public, Electronic Cash Market Making, Quantitative Engineering, Vice President - New York at Goldman Sachs | NY, US | Rezi

GBM - Public, Electronic Cash Market Making, Quantitative Engineering, Vice President - New York at Goldman Sachs

GBM - Public, Electronic Cash Market Making, Quantitative Engineering, Vice President - New York

Goldman Sachs · NY, US

1 weeks ago

GBM - Public, Electronic Cash Market Making, Quantitative Engineering, Vice President - New York

Goldman Sachs · NY, US

10 days ago
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About the Role

The Electronic Market Making (EMM) group is seeking a senior-level engineer to architect and build foundational trading infrastructure for a multi-phase ETF initiative. This is a high-impact, self-directed role with no distinction between research and production environments, demanding high ownership and accountability while emphasizing collaboration and transparency.

Responsibilities

  • Architect and build foundational trading infrastructure.
  • Develop software and strategy.
  • Shape strategy decisions beyond technical implementation.

Requirements

  • 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.
  • Demonstrates consistent quality in a fast-paced environment with quick turnaround from testing to production implementation.
  • Highly conscientious in maintaining operational robustness while evolving and upgrading current architecture.
  • Thrives in a collaborative setting where ideas are openly discussed and challenged.

Skills

  • C++
  • Software architecture
  • High-performance trading systems
  • Data infrastructure
  • Low-level system design
  • Memory management
  • Concurrency
  • Performance optimization
  • Python
  • Data-science packages (e.g., numpy, scikit-learn)

Location

  • New York, NY, United States

Work Type

  • Full-time

Experience Level

  • Senior-level
  • 5 to 10 years

Education Level

  • Bachelor's degree
  • Master's degree

Salary/Compensations

  • $155,000-$300,000

Benefits

  • Discretionary bonus
  • Competitive benefits and wellness offerings

About the Company

  • Goldman Sachs Electronic Market Making (EMM) group is embarking on a major, multi-phase ETF initiative.
  • Engineers on the team are deeply involved in both software and strategy development.
  • Goldman Sachs is committed to providing our people with valuable and competitive benefits and wellness offerings, as it is a core part of providing a strong overall employee experience.