Global Banking

2 weeks ago


Singapur, Singapore Goldman Sachs Full time

Global Banking & Markets, Marquee Market Data Engineer, Analyst/ Associate, Singapore

Our core value is building strong relationships with our institutional clients, which include corporations, financial service providers, and fund managers. We help them buy and sell financial products on exchanges around the world, raise funding, and manage risk. This is a dynamic, entrepreneurial team with a passion for the markets, with individuals who thrive in fast-paced, changing environments and are energized by a bustling trading floor.

What We Do

Engineers in the Marquee Market Data team play an integral role on the trading floor and within Marquee. We are a cross-asset team that work closely with the desks to source and distribute market data used in pricing and risk for the firm and its clients. We build complex parallel computing architectures that power pricing, and market making that help run the firm’s core businesses. We also build strategic modelling frameworks and trader marking tools that help desks create market data for the firm. In a team of energetic, self-motivated individuals, we need someone who can take the initiative at any stage of the software cycle, from inception, through development, to release and support. This role also interacts with a variety of other strat, trading and engineering teams. The structure is flat, and the successful candidate will be able to manage his or her time to have maximum impact.

Your Impact

As a Market Data Engineer, you will be building the foundational technologies that source and distribute market data for markets around the world. You will be working on a team focused on building the best-in-class market data infrastructure. You will work with other engineers and traders to improve all aspects of our platform. 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 Goldman Sachs’ securities business flows.

Responsibilities
  • Contribute to architectural decisions and implementation of our market data platforms, both strategically and day to day
  • Drive our platform development using a range of technologies, and collaborate closely with other quant, trading and core engineering teams
  • Analyse platform performance and identify areas for improvement
  • Improve the safety and reliability of our market data systems
  • Manage work to balance the short-term needs of the business with strategic enhancements
Basic Qualifications
  • Excellent academic record in computer science or in a relevant quantitative field such as physics, mathematics, statistics, engineering
  • Strong programming skills in an object oriented or functional paradigm such as Java or C++
  • Self-starter with strong self-management skills, ability to manage multiple priorities and deliver in a high-pressure environment
  • Excellent written and verbal communication skills
Experience Of The Following Would Be Advantageous
  • Minimum 1 year (for Analyst)/ 2 years (for Associate) of experience in Java 8 or above
  • Experience building multi-threaded/concurrent or low-latency systems
  • Prior experience in building trading/front office platforms
Seniority level
  • Associate
Employment type
  • Full-time
Job function
  • Information Technology

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