Quantitative research and Development

We are supporting a leading global investment institution in the search for a quantitative professional to join a growing team focused on developing advanced research, analytics, and data-driven investment capabilities.

This role sits at the intersection of quantitative research, data science, and technology, offering the opportunity to work on large-scale datasets, develop innovative analytical frameworks, and support investment decision-making across global markets.

Key responsibilities include:

• Designing and developing quantitative models, analytical tools, and research frameworks to support investment teams
• Building and enhancing data pipelines, research infrastructure, and scalable analytical workflows
• Working with structured and alternative datasets to uncover investment insights and improve research efficiency
• Partnering closely with investment professionals, researchers, and technology teams to deliver impactful solutions
• Applying machine learning, statistical techniques, and modern data technologies to complex investment challenges
• Supporting the continuous evolution of data architecture, data quality, and research platforms

Successful candidates are likely to possess:

• Advanced degree (Master's or PhD) in a quantitative discipline such as Computer Science, Mathematics, Statistics, Engineering, Physics, or a related field
• Strong programming experience in Python and SQL, with experience working with large and complex datasets
• Background in quantitative research, systematic investing, financial data analytics, machine learning, or investment technology
• Experience developing scalable data solutions, research tools, or analytical platforms within financial services, asset management, hedge funds, proprietary trading firms, or technology-focused environments
• Ability to combine strong technical skills with a practical understanding of investment processes and decision-making

This is an excellent opportunity to join a highly regarded team investing heavily in quantitative research, advanced analytics, and next-generation data capabilities.