Analytics Engineer – Equities Electronic Trading

Location(s) US-NY-New York
Job ID
Schedule Type
Full Time
QA Engineer
Business Unit
Equity GSET Strats
Employment Type


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

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. 


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 mindfulness classes to working from home and flexible work options, we offer our people the support they need to reach their goals in and outside the office.


The Equities Analytics team works with Equities sales-trading desks to analyze and optimize our clients' and the firm's execution strategies across Equities products globally.


The group is responsible for the development and maintenance of the Analytics and Research Platform used by Equities.  The platform provides the following functionality:

  • Collects and enriches massive amounts of data resulting from execution of client and firm trades and market data.
  • Analytical tools to monitor and analyze Execution Algorithm performance both on a real-time and historical basis and deliver analysis to clients
  • Big Data platform to perform market microstructure research to develop and optimize Equities Execution algorithms
  • Analytical tools to provide transparency and insight to management and senior stakeholders on how Equities products are used by clients.



  • Design, build and maintain a high-performance, high-availability, high-capacity, yet nimble and adaptive platform for transaction cost analytics and execution research
  • Develop highly reliable data ingestion processes to consume large volumes of data emitted by trading and market data systems.
  • Design distributed computation infrastructure and libraries to run parallelized queries over large volumes of data.
  • Design, build and maintain applications to monitor performance of trading strategies in relation to the market in real time.
  • Use data to guide decision-making, developing or enhancing tools as necessary to collect it.
  • 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
  • 5+ years of professional experience in a data engineering/analytics role
  • Experience with KDB based large scale streaming data analytics and storage solutions
  • Experience with Equities transaction and market data, Transaction Cost Analytics
  • Strong communication skills and the ability to work in a team
  • Strong analytical and problem solving skills
  • Strong coding skills in KDB/q
  • Experience in data driven performance analysis and optimizations.

Preferred Qualifications

  • Experience with Kafka, streaming data processing and ingestion pipelines
  • Experience building distributed data processing systems which handle a high volume of client queries
  • Strong knowledge of data structures, algorithms and design patterns
  • Prior experience building systems used by multiple technical and non-technical teams
  • Over 7 years' experience in Financial industrya



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

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more:

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Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity