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

Goldman Sachs • New York, NY

10d • $155,000 - $300,000

About The Position

The Electronic Market Making group is undertaking a major, multi-phase ETF initiative and seeks a senior-level engineer to architect and build the foundational trading infrastructure for the new business line. This is a high-impact, self-directed role with no separation between research and production environments.

The team is small and expects contributors to take substantial ownership and accountability while working collaboratively and transparently. Engineers are involved in both software and strategy development. The successful candidate will help shape strategy decisions as well as lead technical implementation, and will maintain operational robustness while evolving the architecture to support future phases, such as international ETF expansion.

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++; experience primarily in Java, managed languages, or cloud-native tooling is not considered.
• Proven track record of architecting and building high-performance trading systems and data infrastructure from scratch, including custom solutions rather than relying on off-the-shelf libraries or pre-packaged cloud tools.
• Strong low-level system design capabilities, including memory management, concurrency, and performance optimization.
• Consistently delivers quality in a fast-paced environment with quick turnaround from testing to production implementation.
• Highly conscientious about operational robustness while evolving and upgrading architecture.
• Thrives in a collaborative setting where ideas are openly discussed and challenged.
• Takes an active interest in shaping strategy decisions beyond technical implementation.

Nice To Haves

• Background in Telecom, Physics research, or Mathematics research environments where low-level, high-performance system engineering is the norm.
• 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 such as numpy and scikit-learn.

Responsibilities

• Architect and build foundational trading infrastructure for the ETF business line.
• Build high-performance trading systems and data infrastructure, including bespoke solutions.
• Maintain operational robustness while evolving and upgrading the architecture for future phases, including potential international ETF expansion.
• Contribute to strategy development and take an active role in shaping strategy decisions beyond technical implementation.
• Deliver software in a fast-paced environment with quick turnaround from testing to production implementation.

Benefits

• Eligible employees may receive a discretionary bonus if active as of fiscal year-end.
• Competitive benefits and wellness offerings are generally available to active, non-temporary, full-time and part-time US employees working at least 20 hours per week; details are available in the referenced benefits summary.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior