Quantitative Analyst

Opportunity

Investment and asset allocation

• Analyze global equities, fixed income, credit, commodities, currencies, and alternative asset classes.
• Contribute to strategic, dynamic, and tactical asset allocation research.
• Assess valuations, macroeconomic conditions, and market regimes.
• Translate quantitative signals and research into practical investment recommendations.

Portfolio analytics and research

• Conduct portfolio construction, scenario, factor, and risk analysis.
• Maintain performance attribution for multi-asset model portfolios and explain investment drivers.
• Develop, test, and refine proprietary investment models.
• Research valuation, technical, macroeconomic, risk, and other investment signals.

Communication, tools, and data

• Produce investment commentary, charts, and analysis and present findings to committees and internal and client-facing audiences.
• Maintain quantitative models and dashboards using Python and Excel.
• Maintain high data quality and help automate and improve research processes and infrastructure.

What the employer is looking for

• Ideally 1 to 3 years of quantitative analysis experience, preferably in multi-asset wealth or asset management.
• Degree in a relevant discipline and experience in quantitative modelling, preferably in financial markets or investments.
• Strong Python or comparable programming skills and strong Excel skills.
• Good understanding of global financial markets, asset classes, and drivers of multi-asset returns.
• Understanding of portfolio construction, asset allocation, investment risk, performance attribution, and economic theory.
• Strong analytical and problem-solving skills, attention to detail, and ability to interpret outputs in investment context.
• Strong written and verbal communication skills and a good understanding of the UK wealth management market.

Additional advantages

• CFA qualification or working toward the CFA designation is an advantage.
• Experience with Bloomberg or FactSet, or ability to learn new platforms quickly, is an advantage.
• Browser-based dashboard experience and relevant financial services internships or work experience are advantages.