Securities, Java Quant Developer-Equities Electronic Trading, Associate/VP, London
Goldman Sachs
UK-London
3d ago

SECURITIES

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.

At Goldman Sachs, our culture is one of teamwork, innovation and meritocracy. We often say our people are our greatest asset and we take pride in supporting each colleague both professionally and personally.

From collaborative work spaces and ergonomic services to wellbeing and resilience offerings, we offer our people the flexibility and support they need to reach their goals in and outside the office.

RESPONSIBILITIES AND QUALIFICATIONS

Responsibilities

  • Build best in class algorithmic trading offering to Goldman Sachs' electronic trading clients.
  • Design, build and maintain highly specialized, low latency Equities trading strategies.
  • Use data to guide decision-making, developing or enhancing tools as necessary to collect it.
  • Work closely with Quants to implement and rigorously back test signals and models.
  • Observe, measure and act proactively to continuously improve performance of trading strategies.
  • Communication with traders, sales, clients and compliance officers about new feature requests, explanation of existing features etc.
  • Basic Qualifications

  • Bachelors or Master’s degree in computer science or engineering or equivalent experience
  • 3 to 5 years of professional experience developing high performance, low latency systems
  • Thorough knowledge of Java programming concepts
  • Strong knowledge of object oriented programming, data structures, algorithms and design patterns
  • Experience developing distributed architecture systems and message bus protocols
  • Background in statistics and data driven performance analysis and optimizations
  • Strong analytical and problem solving skills
  • Familiarity with Global Equities Markets
  • Strong communication skills and the ability to work in a team
  • Preferred Qualifications

  • Solving complex, open-ended problems with lot of ambiguity using latest data analysis and machine learning tools
  • Experience building re-usable building blocks and API’s for trading strategies that can be deployed in global markets;
  • experience building tools for performance analysis, back testing and visualization

  • Good knowledge of Java performance tuning for low latency and GC-free real-time operation
  • Linux systems programming experience including memory management, concurrent programming infrastructure, and the networking stack
  • Over 3 years' relevant experience in Financial industry (algorithmic trading, automation of trader workflows, HFT strategies)
  • ABOUT GOLDMAN SACHS

    The Goldman Sachs Group, Inc. is a leading global investment banking, securities and investment management firm that provides a wide range of financial services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals.

    Founded in 1869, the firm is headquartered in New York and maintains offices in all major financial centers around the world.

    The Goldman Sachs Group, Inc., 2019. All rights reserved Goldman Sachs is an equal employment / affirmative action employer Female / Minority / Disability / Vet.

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