London, England, United Kingdom · On-site
Join our AI Development teams in London for a 6-month placement where you'll work directly on projects that support Finance, Operations, Risk, Trading and Portfolio Management. This isn't a shadowing programme - you'll b…
Skills: Python, Machine Learning, Artificial Intelligence, Software Engineering, Generative AI
London, England, United Kingdom · On-site
Location: London, fully in-office (no remote work) Dates: 28th June - 3rd September 2027 Join Marshall Wace for the summer and experience first-hand what it means to be a member of the highly innovative and fast-paced te…
Skills: Devops, Data Engineering, Cyber Security, Web Development, Business Intelligence
Pittsburgh, Pennsylvania, United States · On-site
Date/Time: Monday, September 14 from 1-3pm Location: Will be sent to confirmed attendees closer to the date Come join MW engineers to discuss what it's like to work directly with our world-class technology team, building…
Skills: Data Pipelines, Distributed Systems, Generative AI, Quantitative Research, Machine Learning
West Haven, Connecticut, United States · On-site
Date/Time: Monday, September 24 from 6-8pm Location: Will be sent to confirmed attendees closer to the date Come join MW engineers for a hands-on systems design workshop! We'll present a real problem we've faced at Marsh…
Skills: Systems Design, Engineering, Problem Solving, Technical Workshop
Medford, Massachusetts, United States · On-site
Date/Time: Wednesday, October 14 from 12-2pm Location: Will be sent to confirmed attendees closer to the date Come join MW engineers for a hands-on systems design workshop! We'll present a real problem we've faced at Mar…
Skills: Systems Design, Engineering, Problem Solving, Collaboration
Swarthmore, Pennsylvania, United States · On-site
Date/Time: Thursday, October 29 from 6-8pm Location: Will be sent to confirmed attendees closer to the date Come join MW engineers for a hands-on systems design workshop! We'll present a real problem we've faced at Marsh…
Skills: Systems design, Engineering, Problem solving, Collaboration, Technical presentation
Boston, Massachusetts, United States · On-site
Date/Time: Wednesday, October 14 from 6-8pm Location: Will be sent to confirmed attendees closer to the date Come join MW engineers for a hands-on systems design workshop! We'll present a real problem we've faced at Mars…
Skills: Systems design, Engineering, Problem solving, Collaboration
Boston, Massachusetts, United States · On-site
Date/Time: Friday, October 16 from 1-3pm Location: Will be sent to confirmed attendees closer to the date Come join MW engineers for a hands-on systems design workshop! We'll present a real problem we've faced at Marshal…
Skills: Systems design, Problem solving, Technical workshop, Engineering
Boston, Massachusetts, United States · On-site
Date/Time: Thursday, October 15 from 3-4:30pm Location: Will be sent to confirmed attendees closer to the date Come join MW engineers for a hands-on systems design workshop! We'll present a real problem we've faced at Ma…
Skills: Systems design, Engineering, Problem solving, Collaboration
Boston, Massachusetts, United States · On-site
Date/Time: Thursday, October 15 from 5-6:30pm Location: Will be sent to confirmed attendees closer to the date Come join MW engineers for a hands-on systems design workshop! We'll present a real problem we've faced at Ma…
Skills: Systems design, Engineering, Problem solving, Collaboration, Technical presentation
New York, New York, United States · On-site
Please submit your application for consideration for our upcoming Intern and Grad roles and we will be in touch soon!
Skills: Artificial Intelligence, Technology, Data Analysis
New York, New York, United States · On-site
Date/Time: Tuesday, October 6 from 7:30-9pm Location: Will be sent to confirmed attendees closer to the date Come join MW engineers for a hands-on systems design workshop! We'll present a real problem we've faced at Mars…
Skills: Systems design, Engineering, Problem solving, Collaboration, Technical presentation
Colombia · On-site
Date/Time: Thursday, October 8 from 6:30-8:30pm Location: Will be sent to confirmed attendees closer to the date Come join MW engineers for a hands-on systems design workshop! We'll present a real problem we've faced at …
Skills: Systems design, Problem solving, Collaboration, Technical presentation
Pittsburgh, Pennsylvania, United States · On-site
Date/Time: Monday, September 14 from 7-8:30pm Location: Will be sent to confirmed attendees closer to the date Come join MW engineers for a hands-on systems design workshop! We'll present a real problem we've faced at Ma…
Skills: Systems design, Engineering, Problem solving, Technical workshop
Pittsburgh, Pennsylvania, United States · On-site
Date/Time: Monday, September 14 from 5-6:30pm Location: Will be sent to confirmed attendees closer to the date Come join MW engineers for a hands-on systems design workshop! We'll present a real problem we've faced at Ma…
Skills: Systems design, Problem solving, Engineering, Technical collaboration
Singapore · On-site
Start Date: September 6th 2027 This is an 18-24 month programme available in Singapore. The successful hire will have the opportunity to work across multiple (up to six) technology teams. The variety of this programme wi…
Skills: Software engineering, Infrastructure, Problem solving, Teamwork, Communication
New York, New York, United States · On-site
Start Date: September 6th 2027 About the role This is an 18-24 month programme in our New York office. The successful hire will have the opportunity to work across multiple (up to six) technology teams. The variety of th…
Skills: Software engineering, Infrastructure, Problem solving, Technical communication, Teamwork
London, England, United Kingdom · On-site
Start Date: September 6th 2027 This is an 18-24 month programme in our London office. The successful hire will have the opportunity to work across multiple (up to six) technology teams. The variety of this programme will…
Skills: Software engineering, Infrastructure, Problem solving, Teamwork, Technical communication
Hong Kong, Hong Kong Island, Hong Kong S.A.R. · On-site
Start Date: September 6th 2027 This is an 18-24 month programme in our Hong Kong office. The successful hire will have the opportunity to work across multiple (up to six) technology teams. The variety of this programme w…
Skills: Software engineering, Infrastructure, Problem solving, Teamwork, Communication
Singapore · On-site
Location: Singapore, fully in-office (no remote work) Dates: 17th May - 25th July 2027 Join Marshall Wace for the summer and experience first-hand what it means to be a member of the highly innovative and fast-paced tech…
Skills: Devops, Data Engineering, Cyber Security, Web Development, Business Intelligence
London, England, United Kingdom • On-site
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
You will work within AI-focused teams to develop services, models, and data assets that integrate generative AI into investment and operations workflows. Responsibilities include owning end-to-end projects such as building LLM pipelines, improving RAG engines, and writing production code.
Candidates must demonstrate strong coding ability, preferably in Python, and have a solid foundation in machine learning and AI through coursework or personal projects. A curiosity about financial markets is required, though prior finance experience is not necessary.
Join our AI Development teams in London for a 6-month placement where you'll work directly on projects that support Finance, Operations, Risk, Trading and Portfolio Management. This isn't a shadowing programme - you'll be writing production code, shipping features and owning deliverables from day one.
You'll leave with real engineering experience across a range of technologies, a working knowledge of financial markets, and a strong foundation for a career in tech.
Over six months, you'll sharpen your skills in AI, software engineering and programming while building a practical understanding of how a systematic hedge fund operates.
You'll join one of our AI-focused teams, which build the services, models and data assets that bring generative AI into Marshall Wace's investment and operations workflows. The goal is straightforward: make it possible for every engineer in the firm to use AI/ML effectively, without needing to be a specialist. Our team holds that specialist knowledge - and during your placement, you'll develop it too.
Day to day, you could be adding features to our AI platform, developing backend services, building LLM pipelines or improving our RAG engine. You'll own specific projects end to end - from design through development, implementation and review - not just contribute to someone else's. For those with a strong interest and aptitude in machine learning, there will also be the opportunity to design and train models for use cases across the firm.
We're looking for candidates who've already covered AI/ML topics in their studies and can demonstrate genuine technical depth in this area. Prior project work or coursework in machine learning will be an advantage, particularly personal projects showing your interest.
Application deadline: 16/10/2026
What brings us together, sets us apart.
Marshall Wace is a leading provider of alternative investment solutions. Operating as a single team across the globe, we are dedicated to creating long-term relationships with our clients built on trust and integrity. We define our culture as one of continuous innovation and a quest for improvement. We instinctively strive to do things differently, with fresh thinking that we believe enables us to create proprietary value and maximise the benefits to our clients.
Offices: George House, 131 Sloane Street, London, SW1X 9AT, GB · 350 Park Avenue, 18th Floor, New York, New York 10022-6022, US · 23/F, LHT Tower, 31 Queen's Road Central, Hong Kong, HK
What brings us together, sets us apart.
Marshall Wace is a leading provider of alternative investment solutions. Operating as a single team across the globe, we are dedicated to creating long-term relationships with our clients built on trust and integrity. We define our culture as one of continuous innovation and a quest for improvement. We instinctively strive to do things differently, with fresh thinking that we believe enables us to create proprietary value and maximise the benefits to our clients.
Offices: George House, 131 Sloane Street, London, SW1X 9AT, GB · 350 Park Avenue, 18th Floor, New York, New York 10022-6022, US · 23/F, LHT Tower, 31 Queen's Road Central, Hong Kong, HK
