GBM - Public Dept-Bengaluru-Associate-Quantitative Engineering

• You will be working on building and enhancing platforms focused on electronic trading, market making and execution. You will work with other engineers and trading teams to improve all aspects of execution, price-making and risk management. You ll do this with a keen eye on performance, guided by a robust measurement framework and lots of experimentation. You will have an opportunity to develop a deep understanding of how GS interacts with some of the most dynamic and liquid markets in the world.

 

• Responsibilities
• 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.

 

• Basic Qualifications
• Bachelor/Master s degree in STEM with 3 to 6 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

 

• Engineering is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities Start here.

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