GBM - Public Dept-Bengaluru-Vice President-Quantitative Engineering
Goldman Sachs · Posted Nov 6
Investment banking, securities, asset management, and wealth management services
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About the role
The Electronic Market Making Cash Trading team systematically provides liquidity in US Equities and ETFs, both on-exchange and to low-touch client flow, using quantitative research and low-latency trading infrastructure. The role focuses on building and enhancing platforms for electronic trading, market making and execution. It involves working with engineers and trading teams to improve execution, price-making and risk management.
What you will do
- Design, build and maintain high performance, low latency trading platform which can evolve and adapt to changes in our fast-paced, global business environment.
- Analyze trading system performance and identify areas for improvement.
- Generate ideas for system enhancements that drive commercial performance.
- Implement, test and deploy these ideas.
- Improve the safety and reliability of trading systems.
- Manage work to balance the short-term needs of the business with strategic enhancements.
- Understand global market structure, regulations and exchange requirements.
Skills used in this role
What the employer is looking for
- Bachelor/Master’s degree in STEM 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
- A deep passion for technology and software development
- Sound understanding of multi-threaded application design and development and experience with lock-free data structures
- Professional experience working with distributed systems
- Knowledge of CPU microarchitecture, caches and memory subsystems and experience with micro-optimizations
- Experience in low latency messaging, TCP/UDP tuning, Linux latency tunings is preferred
- Experience with low latency trading platform is preferable but not necessary
- Excellent communication skills
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
Benefits and support
- Compensation and benefits are detailed in the job posting
About Goldman Sachs
The Goldman Sachs Group, Inc. is a leading global financial institution that delivers a broad range of financial services across investment banking, securities, investment management, and consumer banking to a diverse client base. Established in 1869 and headquartered in New York City, the firm serves corporations, financial institutions, governments, and high-net-worth individuals worldwide.
- Industry
- Investment Banking
- Company size
- 47400+ employees
- Founded
- 1869
- Location
- New York, New York, USA
- Funding stage
- Public Company
Leadership
Chairman and Chief Executive Officer
President and Chief Operating Officer
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