Trading Algorithm Software Engineer - Ficc Smm Execution Svcs Eng

Location(s) US-NY-New York
Job ID
Schedule Type
Full Time
Vice President
Quantitative Engineer
Business Unit
FICC Am Systematic Mkt Making
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.


We are an algorithmic trading team responsible for executing orders in futures and government bonds. Our clients are both external and internal to the firm including hedge funds, asset managers and the Goldman commodities, interest rates and equities trading desks. Our main job is to design, build and maintain trading algorithms for the products we cover. We also deliver pre-trade and post-trade analytics to clients and meet with them regularly to explain our offering and help them make better execution decisions.


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.


Your Impact


You will work to improve the performance, flexibility, and reliability of our trading platform. This will include some combination of performing quantitative research to figure out better ways to trade, implementing those research results in the production codebase, writing new algorithms or modifying existing ones to meet client needs, and engineering the trading infrastructure to make it faster and more robust. Clients choose to trade with us or not based on the quality of our execution so you will have a direct impact on business revenue. The team structure is flat and the successful candidate will be able to manage his or her time to have maximum impact.




We are looking for someone with a strong quantitative background, a strong software engineering background or a mix of the two.



 Design, develop, and maintain trading algorithms and associated infrastructure to facilitate order execution for internal and external clients

  • Use a combination of problem-solving, software engineering, and quantitative skills to create new or enhance existing execution strategies
  • Ensure high performance (low-latency, high bandwidth) and reliability of the algorithmic trading platform
  • Collaborate with the global team to ensure consistency and applicability of solutions across regions
  • Work with clients, salespeople, traders, and other groups to provide technical expertise and grow the business

Basic Qualifications

  • Bachelor’s degree or higher in computer science, physics, mathematics, engineering or equivalent experience
  • Strong understanding of data structures and algorithms
  • Strong analytical and problem-solving skills
  • Strong communication skills and the ability to work in a team

Preferred Qualifications

  • Experience with multi-threading and concurrent programming
  • Experience building Java systems with high-performance requirements (latency and throughput)
  • Experience in measuring the performance of Java programs
  • Experience in developing software for algorithmic trading
  • Experience in market microstructure research, order placement modeling or trade signal generation
  • A strong understanding of statistics and experience applying quantitative techniques to large data sets



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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