Join our Engineering Division in Warsaw!
ABOUT GOLDMAN SACHS
We are a leading global financial services firm providing investment banking, securities and investment management services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals. We commit people, capital and ideas to help our clients, shareholders and the communities we serve to grow.
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. Join our Warsaw Team and learn Java, NoSQL databases (e.g. MongoDB), messaging (Kafka, RabbitMQ), Spark, Hadoop, high throughput distributed systems, front-end (ReactJS) and many more
Transform our business and work across all areas of the firm to design and implement high-quality, scalable and smart solutions. Leveraging both internal and open source services, we design and develop applications capable of building, maintaining, and processing large & complex data sets. Ensuring we have the most up-to-date and actionable information, we constantly strive to boost performance and exceed industry standards in order to meet our clients’ evolving needs. We look for ways to improve our operations and enhance our client offerings through internal and external platforms as we build and expand the capacity for data mining, anomaly detection, and business intelligence.
We look beyond the numbers and find the trends. As a member of our team, you will extract meaningful information to engineer advice and solutions that have real-world implications for our clients and the firm. This level of expert analysis involves large, at times global, data sets – both structured and unstructured – to build predictive models that are relevant to specific business centers and account for market variables. These quantitative techniques then inform effective and accurate cross-asset trade and portfolio ideas for our clients. In collaboration with your team and others across the firm, you will build and enhance advanced quantitative and analytical methods, utilizing software to design risk modelling systems and develop machine learning algorithms. Specifically, your role will focus on providing APIs to clients helping them generate alpha, risk calculations and business metrics. This valuable information will allow them to build and challenge risk models that identify and quantify market and liquidity risk and modelling vulnerabilities.
Infrastructure Engineering is a multi-faceted role that allows you to explore data center design, networks, storage, cloud computing, big data, application messaging, databases, communications, market data and software languages. Make things possible for our clients and the firm as you design and build our compute and data infrastructure. You will put your expertise to work in a variety of challenges, from identifying internal hardware needs, to implementing public and private cloud-based solutions to providing seamless, on-demand scaling of our applications. We provide a robust testing platform that involves the best standards, solutions and tools to ensure uninterrupted operation of all of our lines of business. You will have the opportunity to use data mining techniques to identify and react to problems in the firm’s infrastructure and platforms. A role on this team allows you to use your experience to help us transform the future at Goldman Sachs.
Protect our clients and the integrity of our firm around the world in both an advisory and engineering capacity as you develop and propagate our security control strategy. Be on the front line of our operations every day, helping the firm to protect itself & its clients and manage risk. Information security is a top priority and in this role, you will focus on analysis, penetration testing, cryptography and authentication. This defense involves performing security operations to detect, analyze and respond to threat intelligence and incidents – quickly. We do this by leveraging data mining and machine learning techniques to identify malicious activity and cyber risks. Working as a part of a larger team, you will help developers create secure applications, and advise the firm’s network and systems engineers as they build infrastructure. Together, we are helping to secure the future of the firm and our clients - every day.
Candidates would be required to work on a wide range of problems, including the designing and developing sophisticated software and systems using proprietary as well as modern web, mobile, and, desktop technologies to:
- Manage, visualize, and analyze massive sets of market and operational data used in our trading risk management, and control functions
- Correctly and efficiently route orders for billions of dollars of securities every day
- Allow the ability to represent, transact in and risk manage all of the firm’s OTC derivative positions
- Distribute computations across tens of thousands of computers
- Make use of functional programming paradigm and big data solutions to develop the firm’s next generation modelling, pricing, and risk management platform
- Contribute to key open source initiatives – e.g. GSCollections, Project Panama
- Build firm’s strategic mobile platform
We are interested in applicants who possess the following computer science skills:
- Strong fundamentals in distributed systems, databases
- Design and analysis of algorithms
- Implementation of programming languages and run-time systems
JOIN US FOR:
Summer Analyst Programme (July - September 2020)
10-week internship designed for Students who are available to work in the Summer of 2020 and who can start full time employment in 2021.
New Analyst Programme (starting in July 2020)
Full time entry-level employment dedicated for Students and Graduates who have minimal work experience and who are able to work on a full time basis in 2020.
Off-Cycle Internship Programme (starting in January 2020)
6-month internship designed for Students who can work part-time or full-time and who graduate in 2020.