Global Banking & Markets - KDB Developer - Vice President - London

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.

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.

Goldman Sachs has launched an initiative to become the top provider in equities trading by building superior technology and delivering high quality products. This vision is a multi-year investment in people, platforms and products. Join the team and participate in the development and launch of best in class products for top clients across the industry. We are looking for eager, nimble and ambitious engineers to join our growing team of visionaries, and drive Goldman Sachs to achieve and exceed our goals.

Your Impact

The One Delta Engineering team is accountable for platform architecture evolution to meet the evolving needs of various business lines within global equities markets, meeting requirements with impactful and rapid software deployment. As stewards of critical components in order execution and post-trade, the team is accountable for a high degree of software quality. The team consists of self-guided pragmatic individuals who are motivated to change the status quo in calculated ways.

As a member of the team, you will liaise very closely with sales & trading and various other stakeholders to add a quantitative & solution-driven dimension to all trading products and activities, with a focus in the emerging markets area. This is a dynamic, entrepreneurial team with a passion for technology and the markets, with individuals who thrive in a fast-paced, changing environment. The team takes a data driven approach to decision making and you should be willing to participate in the full product lifecycle from requirements gathering, design, implementation, testing, support, and monitoring performance of systems and strategies used by our clients.

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.
• Communication with traders, sales, clients and compliance officers about new feature requests, explanation of existing features etc.

Basic Qualifications

• Bachelors or Master’s degree in computer science or engineering or equivalent experience
• 6 to 7 years of professional experience in a data engineering/analytics role
• Experience with building and managing KDB based data.analytics
• Experience with Python/Java/C++ based large scale streaming data analytics and storage solutions
• Experience with Equities transaction and market data, Transaction Cost Analytics
• Strong communication skills and the ability to work in a team
• Strong analytical and problem solving skills
• Experience in data driven performance analysis and optimizations.

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
• Over 6 years' experience in Financial industry

ABOUT GOLDMAN SACHS

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 GS.com/careers.

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., 2023. All rights reserved.

Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.