The Goldman Sachs Group, Inc

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

The Goldman Sachs Group, Inc$150K — $300K *
Finance & Insurance
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's/Master's degree in a STEM field
  • 5-10 years of experience in C/C++ software architecture
  • Expertise in designing and maintaining trading systems
  • Demonstrates quality in rapid testing to production environments
  • Strong capacity for collaboration and strategic decision-making

Responsibilities

  • Design and maintain low-latency trading infrastructure
  • Expand ETF Lead Market Maker capabilities
  • Enhance performance of the on-exchange marketing system
  • Shape strategy beyond technical implementation
  • Collaborate and challenge ideas within the team

Benefits

  • Comprehensive and competitive benefits package
  • Strong emphasis on employee wellness and overall experience
  • Eligibility for a discretionary bonus based on performance
Full Job Description
Job Description

Goldman Sachs | Electronic Market Making - Software Engineer - Vice President

Location: New York, NY | Level: Vice President | Team: Electronic Market Making (EMM) - Cash Trading

About the Role

This is a high-impact VP-level role central to the next phase of the EMM franchise. A key business priority you will help drive is expanding our footprint - broadening the ETF products where EMM can act as a Lead Market Maker (LMM), including products referencing private assets, options, and a wider set of foreign underliers, while enhancing on-exchange marketing system performance.

We are looking for a versatile engineer who combines all three of the following skillsets - someone who can write low-latency production code, structure and analyze large data sets, and bring quantitative rigor to financial modeling. This is not a narrowly scoped role: the ideal candidate moves fluidly between software engineering, data analytics, and quantitative research, and is equally comfortable owning infrastructure as they are shaping strategy.

1. Low-Latency C++ Software Engineering
  • Proven experience developing low-latency C++ applications
  • Trading systems experience is useful but not essential
  • Ability to own projects independently with meaningful responsibility
  • Comfort working in a tight development-to-production feedback loop

2. Data Analytics for Research & Production Systems
  • Strong software engineering capability
  • Professional or academic experience structuring and analyzing large data sets
  • Ability to build and maintain research infrastructure that informs production strategy

3. Quantitative & Financial Modeling
  • Experience working with financial risk models
  • Familiarity with financial modeling techniques
  • Strong quantitative and mathematical grounding


Key Responsibilities
  • Design, develop, and maintain reliable trading components and critical low-latency infrastructure
  • Support the expansion of ETF LMM capabilities across new and more complex product sets (private assets, options, foreign underliers)
  • Enhance on-exchange marketing system performance
  • Take an active interest in shaping strategy decisions beyond pure technical implementation
  • Collaborate openly in a team environment where ideas are discussed and challenged

Basic Qualifications
  • Bachelor's/Master's degree in a STEM field with 5 to 10 years of experience developing software architecture in C/C++
  • Strong track record of designing, developing, and maintaining reliable trading components and critical infrastructure
  • Demonstrates consistent quality in a fast-paced environment with quick turnaround from testing to production implementation
  • Highly conscientious in maintaining operational robustness while evolving current architecture
  • Thrives in a collaborative setting where ideas are openly discussed and challenged
  • Expected to take an active interest in shaping strategy decisions beyond technical implementation

Preferred Qualifications
  • Experience with statistics and data-science methodologies
  • Experience with Python and data-science packages (e.g., NumPy, scikit-learn)
  • Experience building and maintaining high-performance research infrastructure for large data inputs
  • Experience optimizing high-volume, low-latency trading components
  • Experience working with financial risk models and financial modeling techniques


Salary Range
The expected base salary for this New York, NY, United States-based position is $150000-$300000. In addition, you may be eligible for a discretionary bonus if you are an active employee as of fiscal year-end.

Benefits
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. A summary of these offerings, which are generally available to active, non-temporary, full-time and part-time US employees who work at least 20 hours per week, can be found here.

About The Goldman Sachs Group, Inc

The Goldman Sachs Group, Inc. provides investment banking, securities, and investment management services, as well as financial services to corporations, financial institutions, governments, and high-net-worth individuals worldwide. Its Investment Banking segment offers financial advisory services, including advisory assignments concerning mergers and acquisitions, divestitures, corporate defense, risk management, and restructurings and spin-offs; and underwriting services comprising public offerings and private placements of a range of securities, loans, and other financial instruments, and derivative transactions. The company’s Institutional Client Services segment provides client execution services, such as fixed income, currency, and commodities client execution related to making markets in interest rate products, credit products, mortgages, currencies, and commodities; and equities related to making markets in equity products, as well as executes and clears institutional client transactions on stock, options, and futures exchanges. This segment also engages in the securities services business providing financing, securities lending, and other brokerage services to institutional clients, including hedge funds, mutual funds, pension funds, and foundations. Its Investing and Lending segment originates longer-term loans; and invests in debt securities, loans, public and private equity securities, real estate, consolidated investment entities, distressed assets, currencies, commodities, and power generation facilities. The company’s investment management segment provides investment products and services, as well as offers wealth advisory services, including portfolio management and financial counseling, and brokerage and other transaction services.

The Goldman Sachs Group, Inc. Careers

Join the prestigious team at The Goldman Sachs Group, Inc., a global leader in finance and investments, and propel your career to new heights. Our firm is renowned for its commitment to excellence, innovation, and leadership in the financial sector.

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Goldman Sachs is not just a workplace. It is a community where you can build lasting relationships with colleagues and industry leaders. Our networking events, mentorship programs, and professional groups foster connections that can accelerate your career trajectory.

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Embark on a rewarding journey with The Goldman Sachs Group, Inc. where your potential is limitless. Explore positions, read about our company culture, and apply today to become part of a team that values growth, leadership, and innovation.

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At The Goldman Sachs Group, Inc., your career is just the beginning – it’s an opportunity to excel and lead in the global financial industry. Join us and make your mark!
Learn more about The Goldman Sachs Group, Inc
Size
45,100 employees
Market Cap
$115.8 billion
Industry
Net Income
$9.4 billion
Founded
1869
5 Year Trend
+11.3%
Revenue
$53.4 billion
NASDAQ

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