Goldman Sachs Engineers are innovators and problem-solvers, building solutions for our clients and connecting people and capital with ideas. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, adapt to change and thrive in a fast-paced global environment.

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 workspaces 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.

Responsibilities

• 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.
• Communicate and guide technical and non-technical users on the system features and analytics metrics details to facilitate their analysis.
• Bachelors or Master degree in computer science or engineering or equivalent experience
• Min 3 years of experience in building and managing KDB based data analytics system
• Experience with Equities transaction and market data, Transaction Cost Analytics
• Experience with Java development
• Strong communication skills and the ability to work in a team
• Strong analytical and problem solving skills

Basic Qualifications

• Bachelors or Master degree in computer science or engineering or equivalent experience
• Min 3 years of experience in building and managing KDB based data analytics system
• Experience with Equities transaction and market data, Transaction Cost Analytics
• Experience with Java development
• Strong communication skills and the ability to work in a team
• Strong analytical and problem solving skills

Preferred Qualifications

• Experience building streaming data processing and ingestion pipelines
• Experience building distributed data processing systems which handle a high volume of client queries
• Strong knowledge of object oriented programming, data structures, algorithms and design patterns
• Prior experience building systems used by multiple technical and non-technical teams
• Experience in data driven performance analysis and optimization