Engineering
GOLDMAN SACHS
HK-Hong Kong
15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.

RESPONSIBILITIES AND QUALIFICATIONS

YOUR IMPACT

This is a hands-on development role to design and enhance our cash & synthetic workflow systems, with strong emphasis on automation and efficiency.

Problem solving ability and good communication skills are key requirements.

The successful candidate will primarily work on Java and SecDb / Slang (the firm’s proprietary language). This powerful object oriented database and interpreted language is similar to Python, and underpins position keeping, trade processing and control functions across the firm.

OUR IMPACT

Technology is at the heart of our multi-billion dollar business. Our engineers develop lowlatency, scalable, and resilient solutions which drive global equities sales and trading at Goldman Sachs.

The Equities Quant Program in APAC delivers a platform for GS' current and prospective quant clients for trading Equities.

Quant developers are focused on infrastructure for the lifecycle of trades for these quant clients.

Key features include lower latency, higher throughput, position and account management for both co-location and existing GS OM2 flows.

Additional engineers allow for platform build roadmap between 2017-2019, allowing GS to significantly grow gross revenues from 2016 to 2020.

Quant clients will also drive increases in market share for GS APAC over the same timeframe, leading significant benefits in both tiering and liquidity for all clients.

OM2 is the key Order Management System underpinning the Equities flows. Development to replace OMA with OM2 is critical to improve capacity (10x), throughput (3x), and latency (60x), which is critical for preparing the firm for quant clients.

JOB SUMMARY & RESPONSIBILITIES

The Asia Pacific Post Trade team is a business / operations facing technology team responsible for development and maintenance of cash & synthetics post trade systems across Asia Equities.

The team covers a wide variety of platforms ranging from cash & synthetics trading workflows, position keeping, inventory management, and trade booking.

The team works closely with trading, sales, middle office and global technology teams in a dynamic and fast paced environment.

BASIC QUALIFICATION

  • Bachelor’s / Master’s Degree in Computer Science, Engineering or equivalent
  • Developers with C++ and / or SecDB experience, as well as experience with Java and a solid OO background
  • Background in scripting languages (Python, Perl) and Linux
  • Willingness to develop key features for clients in a front office environment
  • Highly motivated, committed and capable of working to timelines
  • Excellent interpersonal and communication skills, and willingness to work in a collaborative team environment
  • Strong interest in learning about financial products and markets
  • Ability to master new technologies and business concepts quickly
  • Ability to multi-task and be effective working in a fast paced environment by enforcing high code quality standards
  • Experience with Relational databases and / or noSQL data stores MongoDb, Cassandra, Elastic etc
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