The Marquee Data Analytics team at Goldman Sachs is responsible for delivering digital products to our institutional client base, including our award-winning patent-pending applications MarketView and PlotTool Pro. We design and build highly scalable web platforms that provide access to Goldman Sachs content, portfolio analytics, pricing and risk. These tools streamline our institutional clients' investment process and provide a rich ecosystem of visual insights developed by Goldman Sachs thought leaders that answer important questions in global financial markets, all while generating new revenue streams and business models. Marquee is a product driven team, composed of talented and passionate product managers, designers, and engineers working to change the expectation of institutional finance.
You will be involved in the entire product life cycle, from working with users and product managers to determine requirements, collaborating with other engineers to develop new APIs and UIs, engaging with penetration testers to ensure security and data protection, to deploying your code to users across the globe. You will work with modern Python, Java, React and Typescript frameworks, use a variety of databases and caches to solve specific business problems, monitor and support our stack with help from our SRE team. Above all, you will have ample opportunities to be curious, to solve problems for our clients, and directly impact the success of our business.
Responsibilities
- Design, develop, deploy and maintain our world class full stack web applications used by our institutional clients and users on the trading floor.
- Work with our product and design team to implement new features to support complex use cases and user populations
- Solve client support issues, investigate errors, respond to outages and fix bugs in fast paced environment
- Collaborate efficiently within a diverse global cross-functional team spanning multiple continents and build consensus across teams
- Strive for personal and collaborative excellence in everything you do
Basic Qualifications
- 2+ years of professional experience developing complex applications using one or more industry-standard technologies such as React/TypeScript, Python, Java, Node.js
- Bachelor’s degree or relevant work experience in Computer Science, Mathematics, Electrical Engineering or related technical discipline.
- Excellent object oriented or functional analysis and design skills.
- Strong knowledge of data structures, algorithms, and designing for performance.
- Excellent written and verbal communication skills.
- Comfortable multi-tasking and working as part of a global team.
- Excellent programming skills in a major programming language
- Experience designing scalable and reliable systems, with a focus on APIs / modularity
Preferred Qualifications
- Experience with microservice architecture and frameworks such as Tornado, FastAPI, Spring, Dropwizard, or Vert.X
- Experience with mainstream web transports such as REST and WebSockets
- Experience with SQL and noSQL databases and systems such as PostgreSQL, ElasticSearch/ AWS OpenSearch, MongoDB and Redis
- Familiarity with modern monitoring and alerting tools such as Prometheus, Grafana, and distributed tracing
- Familiarity with unit-testing, integration-testing, and end-to-end testing frameworks
- Familiarity with version control systems, CI/CD patterns and tools such as Git, PyPi, Maven, Gradle, and containerized deployments
- Experience working in a cross-functional team with product managers and / or designers in a sprint-based Agile SDLC
- Knowledge or interest in trading technologies in the front-office of a trading organization
The Marquee Data Analytics team at Goldman Sachs is responsible for delivering digital products to our institutional client base, including our award-winning patent-pending applications MarketView and PlotTool Pro. We design and build highly scalable web platforms that provide access to Goldman Sachs content, portfolio analytics, pricing and risk. You will work with modern Python, Java, React and Typescript frameworks, use a variety of databases and caches to solve specific business problems, monitor and support our stack with help from our SRE team.

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