• Drive AI, quantitative research and market intelligence tools
• Build advanced analytics used by macro trading professionals

About Our Client

Our client is a highly regarded global investment organisation operating across international financial markets. The firm combines deep market expertise, technology innovation and quantitative research to generate investment insights and support decision-making across macroeconomic, rates, foreign exchange, equity and futures markets.

Job Description

• Develop, enhance and maintain quantitative research models, reports and analytical frameworks across multiple asset classes.
• Design and improve statistical analysis tools that identify market relationships, dislocations and emerging investment themes.
• Support the delivery of live market monitoring, intelligence briefings and automated reporting solutions for investment professionals.
• Build, validate and maintain data pipelines to ensure the quality, reliability and accuracy of research outputs.
• Contribute to AI-enabled research platforms, information extraction workflows and market intelligence applications.
• Work closely with senior stakeholders to translate market research requirements into scalable analytical solutions.
• Continuously improve reporting, automation and data validation processes to support informed investment decision-making.

The Successful Applicant

A successful Quant Strategist should have:

• Degree in Quantitative Finance, Mathematics, Statistics, Computer Science, Engineering or a related discipline.
• Strong Python programming skills with experience developing data analysis, automation or research solutions.
• Sound understanding of time-series analysis and statistical techniques, including correlation analysis, stationarity testing and dimensionality reduction methods.
• Experience working with structured datasets, SQL databases and analytical tools.
• Knowledge of financial markets, particularly macroeconomics, rates, foreign exchange, equities or futures markets.
• Familiarity with AI and large language model applications, including data extraction, summarisation or workflow automation.
• Strong analytical mindset with a focus on accuracy, validation and robustness of research outputs.
• Ability to manage projects independently, prioritise effectively and take ownership of deliverables in a dynamic environment.
• Exposure to cloud technologies, Docker, database management, reporting automation or production environments would be advantageous.

What's on Offer

This role offers the opportunity to work alongside highly experienced investment and quantitative professionals in a technology-driven environment where innovation is actively encouraged. The successful candidate will gain exposure to advanced quantitative research, AI applications, market analytics and proprietary trading technologies while receiving significant ownership of projects, ongoing mentorship and a clear pathway for career progression as platform responsibilities expand over time. A collaborative and entrepreneurial culture provides an excellent platform for continuous learning and professional growth.