Technology, GSAM Core Platform Engineer, Vice President, London

  • Competitive
  • London, England, United Kingdom
  • Permanent, Full time
  • Goldman Sachs International
  • 18 Aug 17

See job description for details

Our team of engineers builds solutions to the most complex problems. We develop cutting-edge systems and processes that form the core of our key business and enable transactions to move in milliseconds. We provide real-time access to critical deal information and crunch billions of data points each day to inform firm-wide market insights and strategies. Team members have the opportunity to work at the forefront of technology innovation alongside industry leaders and make significant contributions to the field.


Goldman Sachs Asset Management is one of the world's leading asset management institutions. GSAM delivers innovative investment solutions managing more than One Trillion US Dollars on a global, multi-product platform. Our products include Hedge Funds, Private Equity, Fund of Funds, Quantitative Strategies, Fixed Income, Fundamental Equity and a Global Portfolio Solutions Business.
GSAM Technology is directly aligned to the business. Software is engineered in a fast-paced, dynamic environment, adapting to market and customer needs to deliver robust solutions in an ever-changing business environment.

GSAM Technology builds on top of cutting edge in-house platforms complimented with a strong focus on leveraging open source solutions.

We engineer tools and services that bring unification and scale to Asset Management division, providing solutions that span Sales, Client Servicing, Research, Portfolio Management and Trading.


Goldman Sachs Asset Management (GSAM) Platform Engineers work across a variety of problem domains and software stacks. We focus on designing and developing the shared systems and services which drive our Asset Management Investment Strategies, Portfolio Management, Sales, Trading and Client Servicing in GSAM.


- Using Kafka, Spark Streaming & MemSQL to build a Big-Data processing pipeline that is able to process millions of transactions in near real-time
- Given a starting portfolio and a target portfolio, generating a set of orders that are compliant to various investment guidelines, leveraging linear programming techniques and industry standard optimizers
- Scaling a model portfolio of ideal investment to thousands of real client portfolios, while accounting for the specific restrictions and investment objectives of each
- Creating Platform-As-A-Service offerings including Kafka Clusters, In-Memory Data Stores (Gemfire) & Virtualized Streaming Datasets
- Process Exchange Fills and Systematic-trader actions using asynchronous event processing engine
- Using a well-known industry standard concurrency model to build a distributed order management system component to handle real-time electronic trading messages
- In our goal to achieve 'zero-support' experimenting with React to create a user-facing dashboard that allows for self-service on common queries
- Refining our automated portfolio construction algorithms to allow us to apply our client's investment strategies faster
- Converting our client allocation optimisation algorithm to allow for fractional shares quantities
- Tuning Kafka to see if we can scale to thousands of consumers, while maintaining minimal hardware footprint


- Minimum 1 year academic or industry experience programming
- Clear understanding of data structure algorithms and asymptotic analysis
- Familiarity with core programming concepts and techniques (e.g. concurrency, memory management)
- Enthusiastic, proactive and driven individual with high degree of attention to detail
- Comfort with standard SDLC tools and Continuous Integration paradigms

- Experience developing and maintaining Large-scale, Real-time, distributed system
- Knowledge of one or more concurrency models (Actor Model, Communicating Sequential Processes, Software Transaction Memory, etc.)
- Understanding of data structures (trees, hash maps, queues, etc)
- Functional programming
- Active GitHub and/or Stack Overflow profile is a plus
- Experience developing in a Linux environment
- Bachelor's degree / Master's degree in Computer Science, Computer Engineering or related field

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., 2017. All rights reserved
Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Vet.