Equities Technology
GOLDMAN SACHS
HK-Hong Kong
6天前

What We Do

At Goldman Sachs, our Engineers don’t just make things we make things possible. Change the world by connecting people and capital with ideas.

Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action.

Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.

Engineering, which is comprised of our Technology Division and global strategists groups, 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.

Who We Look For

Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more.

We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment.

Franchise Analytics, Strategy & Technology (FAST) is a cross-divisional team that that partners with sales, traders, and franchise managers in the Equities businesses to understand and quantify opportunities, inefficiencies and workflow obstacles.

We develop intuitive and relevant analytics that continuously challenges the status-quo of the conventional approaches to optimize business leaders’ decision making and convert data-

driven insights into action.

We are seeking someone to join us in building the next generation of analytics systems and products running against large scale complex financial data sets.

As a front-office engineer on the FAST team, you will be at the forefront of a data-driven initiative to optimize decision making across multiple asset classes.

You may be building a chatbot that uses natural language processing to automate trade idea retrieval, building a web app that utilizes vital franchise data through machine learning to suggest potential trades, or designing metrics that analyze inquiry and trading activity to enhance client relationships.

We are looking for a candidate who has :

  • Excellent software engineering skills
  • Passion to deliver - our job is not done until the system works and makes bottom-line impact
  • Quantitative rigor - data drives everything we do
  • Creative drive - we face unique problems daily that require applying unique quantitative approaches and ability to present these with the most optimal visualizations
  • Great communication skills - as partnering with sales, traders and franchise manager in the Equities businesses and daily coordination our global teams is essential
  • RESPONSIBILITIES AND QUALIFICATIONS

    How will you fulfill your potential?

  • Exposure to aspects of trading in various Equities products
  • Connectivity with traders, salespeople, strategists and multiple areas of Technology in a dynamic environment
  • Overall, this role will draw upon your knowledge of programming and analytical skills : you will be challenged to rapidly prototype early-
  • stage solutions. Data-driven insights from usage patterns and user feedback will drive you to condense your work into simple and efficient real-

    time workflow tools. You will also be required to think strategically on a higher level, proposing new business metrics or suggesting alternatives.

    As you gain expertise in the dynamics of the trading business, you will have the opportunity to dive deeper into your areas of interest.

  • You will be working with various technologies including Java / Python or C++, Linux, relational DBs / SQL and Goldman Sachs’ proprietary technologies : Slang and SecDb.
  • Basic Qualifications

  • Bachelors degree in Computer Science, Mathematics, Electrical Engineering or related technical discipline
  • Experience in full software development cycle, including a clear understanding of data structures, algorithms, software design and core programming concepts
  • Comfortable multi-tasking, managing multiple stakeholders and working as part of a team
  • Excellent communication skills including experience speaking to technical and business audiences and working globally
  • Expertise in one or more of Java, Javascript, Python, C++
  • Can apply an entrepreneurial approach and passion to problem solving and product development
  • Strong problem solving and analytical skills
  • Preferred Qualifications

  • Knowledge of trading technologies in the front-office of a trading organization
  • Experience in Equites assets
  • Web development experience using AngularJS / React / JavaScript
  • In-depth knowledge of relational and columnar SQL databases, including database design
  • Big data tools, distributed / data frameworks (Hadoop, Spark)
  • Experience in building data / analytics pipelines
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