Global Banking & Markets - Software Engineer - Systematic Market Making -Vice President - London

Goldman Sachs
London +1 more

Who this role is best for

A natural match if you have experience in low-latency system development and a background in quantitative fields.

Best fit for

  • Individuals who thrive in collaborative, flat team structures and can manage multiple priorities
    — “We need someone who can take the initiative at any stage of the software cycle, from inception, through development, to release and support.”
  • Those with a strong academic background in analytical disciplines and software engineering expertise
    — “Strong academic background in Computer Science or an analytical field such as Mathematics, Physics, Engineering, etc.”

Things to consider

  • The role demands high performance and reliability in trading systems with strict latency constraints
    — “Experience building systems with strict requirements for low-latency (microseconds count) and deterministic performance.”
  • Candidates should be prepared to interact closely with trading and sales teams across the firm
    — “This role also interacts with a variety of other engineering, trading and sales teams.”

How to stand out

  • Highlight experience with performance tuning and optimization of distributed systems
    — “Performance tuning/optimization of distributed systems.”
  • Showcase projects involving low-latency messaging or network I/O in Java or JNI
    — “Low-latency messaging, network protocols, network I/O in Java, JNI.”
  • Demonstrate ability to communicate complex technical ideas to non-technical stakeholders
    — “Comfortable communicating technical topics to non-specialist audiences.”
  • Emphasize your ability to balance short-term business needs with long-term strategic goals
    — “Manage work to balance the short-term needs of the business with strategic enhancements.”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • improved trading system performance
  • commercial performance enhancement
Typical background
software engineeringquantitative analysis

Skills & requirements

Required

Software EngineeringPerformance AnalysisSystematic Market MakingLow-latency SystemsDistributed Systems

Preferred

Securities Trading ExperienceMulti-threading

Stack & domain

Software EngineeringTrading SystemsPerformance TuningOptimization Of Distributed SystemsLinux ShellLow-latency SystemsDeterministic PerformanceParallel Computing ArchitecturesElectronic Trading ToolsModels For Market BehaviorPrice Movement PredictionFICC Asset ClassesAlgorithmic TradingFinancial MarketsAnalytical ThinkingProblem-solvingTeamworkCommunicationInitiativeTime ManagementFinanceTradingQuantitative Analysis

About the role

Original posting from Goldman Sachs

GLOBAL MARKETS 

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 Systematic Market Making (SMM) team play an integral role on the trading floor. We develop and employ automated trading strategies for the firm and its clients. We build complex parallel computing architectures, electronic trading tools and models to help us explain market behavior and predict price movement. Throughout the Global Banking and Markets Division, eTrading Engineers are using quantitative and technological techniques to solve complex business problems. As an eTrading Engineer, you will be building the foundational technologies to run those algorithms on markets around the world, and to enable the research and analysis that support them. We are looking for developers who are interested in applying leading-edge technologies to solve problems in electronic trading. 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 engineering, trading and sales teams. The structure is flat and the successful candidate will be able to manage his or her time to have maximum impact. 

YOUR IMPACT

You will be working on a team focused on electronic market making in Fixed Income, Currencies and Commodities (FICC). You will work with other engineers and traders to improve all aspects of 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'll be doing all this in the context of FICC asset classes and 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 AND QUALIFICATIONS 

Principal Responsibilities

  • 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.
  • Work constructively in collaboration with other team members.
  • Manage work to balance the short-term needs of the business with strategic enhancements. 

Experience/Skills 

  • Strong academic background in Computer Science or an analytical field such as Mathematics, Physics, Engineering, etc. 
  • Strong software engineering background. 
  • Proven ability to analyze data and draw useful commercial conclusions.
  • Comfortable communicating technical topics to non-specialist audiences.
  • History of productive interaction with other groups, especially sales, trading and other technology teams. 
  • Experience building systems with strict requirements for low-latency (microseconds count) and deterministic performance. 
  • Performance tuning/optimization of distributed systems. 
  • Know your way around a Linux shell. Preferred Experience
  • Securities/trading experience is a plus but not required. 
  • Multi-threaded/concurrent programming.
  • Just-in-time compilation/code path optimization. 
  • Memory management strategies. 
  • JVM tuning for low-latency. 
  • Low-latency messaging, network protocols, network I/O in Java, JNI. 
  • Hardware stack and hardware architecture from a latency perspective. 
  • Knowledge of Linux kernel/OS internal.

 ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.  We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.  We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

 © The Goldman Sachs Group, Inc., 2023. All rights reserved.Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.

Source: Goldman Sachs careers

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