3 of 3 Contract Quantitative Research Jobs in Central London

trading technology team. This is a hands-on role focused on the development and enhancement of a next-generation algorithmic trading platform, supporting trading, quantitative research and execution across global markets. Key Responsibilities Develop and enhance core electronic trading platform components. Deliver strategic platform improvement and roadmap initiatives. … Global Markets. Experience developing monitoring and performance tooling. Strong stakeholder management and communication skills. Platform Engineering & DevOps This role is not purely focused on quantitative development. Successful candidates should be comfortable working across the wider platform environment, including: CI/CD and build pipelines Release and deployment processes Developer ...

seeking an experienced Python Data Engineer to join a high-performing data engineering team, building and enhancing centralised data services used by quantitative researchers, traders and front-office teams. ***The ideal candidate will have experience in Hedge funds, Asset management or Investment banks*** ***As well as a good understanding … build reusable data capabilities and support business-critical analytics. Key Responsibilities Design, develop and enhance Python-based data services used by front-office and quantitative teams. Build scalable data pipelines and services to ingest, transform and deliver high-quality datasets. Develop robust data validation frameworks to improve the accuracy ...

Data Validation Specialist to join a front-office data and analytics function, supporting the delivery of high-quality market and investment data used by quantitative researchers, traders and analytics teams. ***The ideal candidate will have experience in Hedge funds, Asset management or Investment banks*** ***As well as a good … derived datasets, ensuring accurate and trusted outputs. Investigate data quality issues, identify root causes and work collaboratively to resolve discrepancies. Work closely with quantitative researchers, traders and engineering teams to understand business requirements and expected data outcomes. Support the centralisation of data validation processes and promote consistent data standards ...