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

About the role

The Electronic Market Making (EMM) group is launching a major, multi‑phase ETF initiative and seeks a senior‑level engineer to architect and build the foundational trading infrastructure for this new business line. This high‑impact, self‑directed position blends research and production environments, demanding strong ownership, accountability, collaboration, and transparency. Engineers on the team are deeply involved in both software and strategy development.

Responsibilities

• Architect and build the core trading infrastructure that will power the new ETF business.
• Design and implement high‑performance, low‑latency trading and data systems from scratch.
• Maintain operational robustness while evolving and upgrading the architecture for future phases, such as international ETF expansion.
• Collaborate closely with teammates, openly discussing and challenging ideas.
• Take an active role in shaping strategy decisions beyond pure technical implementation.

Requirements

• Bachelor’s or Master’s degree in a STEM discipline (Computer Science, Physics, Mathematics, or Engineering preferred).
• 5–10 years of experience developing software architecture in C/C++.
• Expert‑level proficiency in C++; candidates primarily experienced in Java, managed languages, or cloud‑native tooling will not be considered.
• Proven track record of architecting and building high‑performance trading systems and data infrastructure from scratch, using custom solutions rather than off‑the‑shelf libraries.
• Strong low‑level system design skills, including memory management, concurrency, and performance optimization.
• Consistent delivery of high‑quality code in a fast‑paced environment with rapid testing‑to‑production cycles.
• High conscientiousness in maintaining operational robustness while evolving the architecture.
• Ability to thrive in a collaborative setting where ideas are openly discussed and challenged.

Preferred Qualifications

• Background in telecom, physics research, or mathematics research environments where low‑level, high‑performance system engineering is standard.
• Experience building and maintaining high‑performance research infrastructure for very large data inputs.
• Experience optimizing high‑volume, low‑latency trading components.
• Familiarity with statistics and data‑science methodologies.
• Familiarity with Python and data‑science packages (e.g., NumPy, scikit‑learn).

Pay

The expected base salary for this New York, NY position is $150,000–$300,000. In addition, eligible employees may receive a discretionary bonus at fiscal year‑end.

Benefits

Goldman Sachs provides a comprehensive suite of competitive benefits and wellness offerings to active, non‑temporary, full‑time and part‑time U.S. employees who work at least 20 hours per week.