Goldman Sachs
Global Banking Markets - Software Engineer, Data Platform - London - Vice President

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Job Description
GLOBAL MARKETS
Our core value is building strong relationships with our institutional clients, which include corporations, financial service providers, and fund managers. We help them buy and sell financial products on exchanges around the world, raise funding, and manage risk. This is a dynamic, entrepreneurial team with a passion for the markets, with individuals who thrive in fast-paced, changing environments and are energized by a bustling trading floor.
Job Description
Data Platform team is responsible for platform architecture development to provide scalable, resilient, performant, adaptable stack that meet the evolving needs of different business lines globally.
As a senior member of the team & owner of core system in post-trade stack, you will be responsible for the full product lifecycle from requirements gathering, design, implementation, testing, support, and monitoring. We expect a high degree of ownership, adaptability to embrace newer technologies, and adherence to a high degree of software quality.
Responsibilities
- Design, build, and maintain a high-performance, high-availability, high-capacity, scalable, near real-time yet nimble and adaptive platform for processing & persisting high volumes of business-critical data and distributing it to downstream applications post-trade processing.
- Develop highly reliable data ingestion processes to consume large volumes of data emitted by trading and market data systems.
- Design distributed computation infrastructure to run parallelized queries over large volumes of data.
- Design and develop an AI-powered UI/agent framework that delivers intelligent analytics and insights over the data we process and hold, enabling users to interrogate and derive value from large-scale datasets.
- Communicate with business, client applications, Regulatory & Compliance teams about new feature requests, explanation of existing features, etc.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Required Qualifications & Skill-Sets
- About 5-10 years of professional experience developing high performance, low latency systems (sub-seconds)
- Ability to contribute & drive on complex industrial scale development of systems independently
- Thorough knowledge of Java programming concepts
- Strong knowledge of object-oriented programming, data structures, algorithms, and design patterns
- Experience in Developing High Available, Low Latency systems with low footprint – awareness of JVM internals, performance optimizations, concurrency, tuning for low-latency, GC-free real-time operation
- Experience in Distributed, Stream processing systems handling large volume (big data) in near real-time
- Exposure to stack like HDFS/S3, SingleStore, Kafka/Streaming Message System, Flink/Distributed Processing, Java/Scala
- Strong communication skills and the ability to work in a team and at the same time able to drive things independently
- Strong analytical and problem-solving skills


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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: https://www.goldmansachs.com/careers/footer/disability-statement.html
© 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.
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