Securities, Derivatives Big Data Strats, London

Location(s) UK-London
Job ID
Schedule Type
Full Time
Software Engineer
Business Unit
SecDiv Data Office Strats
Employment Type




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.



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.​

Have a global impact with Goldman Sachs without moving! We are hiring people who want to work on interesting challenges with a global impact in the financial sector. We have 1.5BN lines of code running across a huge infrastructure. We also give back to the Open Source community (e.g. Eclipse collections) and stay close to the start-up scene. Our people have complete product ownership; requirements, coding, testing and d! eployment. We run a low friction SDLC where you learn from peer code review. You will help us progress toward our goal of continuous build and cloud deployment everywhere. We like to run a lean and flat structure where everyone is happy to help out. We love to learn and offer robust training resources, including free access to Pluralsight, Safari books, Harvard Business Review and Egghead training platforms. We run internal MOOC-like curated learning, soft skills education, a women's mentoring program and more. We have a culture of giving back; last year over 25,000 of our people volunteered on 1,600 community projects across the world.



Job Summary: We are seeking exceptional engineers to join us in building components of our automated trading platform that processes large scale complex financial data sets and feeds into quantitative strategies.



We are looking for candidates who have:

  • BSc or MSc degree in a quantitative discipline
  • Exceptional programming skills in Python or solid Java/C++ with familiarity in Python with deep understanding of algorithms and data structures
  • Exposure to open-source technologies with typically though-leadership in their current team
  • Full software development life-cycle experience, familiarity with practices that target quick delivery cycles (e.g. agile development)
  • Experience with RDBMS and No-SQL database languages (e.g. SQL, MongoDB)
  • Expertise in data and statistical analysis tools and approaches
  • Experience in building big/financial data pipelines
  • Exposure/background in financial products and front-office background is not compulsory but could be a plus

Team values:

  • Quantitative rigour
  • Passion to deliver - our job is not done until the system works and makes bottom-line impact
  • Great communication - as daily coordination with our global teams is essential
  • Ownership of end! -to-end development and deployment of the front-office system
  • Data-driven approach: work with large and complex financial data sets unique to our business. Provide insights to data, build visualisations based on quantitative methods
  • Team work: close interaction with local and global engineering and other front-office teams 




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:

© The Goldman Sachs Group, Inc., 2020. All rights reserved.
Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity