Quantitative Analyst

Raymond James UK; Greater London; On-site; GBP 60,000 - 90,000; Full time

Job summary

Raymond James UK is seeking a Quantitative Analyst to join the Portfolio Management & Asset Allocation team in London. This early-career role combines markets, data and quantitative analysis to shape our asset allocation thinking across a multi-asset universe.

You will work closely with the investment team on research, portfolio construction, risk attribution and model development using Python and Excel. CFA progress is advantageous as you grow with the firm.

Qualifications

• 1–3 years of quantitative investment experience.
• Strong Python skills and data fluency.
• Solid understanding of global financial markets and multi-asset investing.
• CFA qualification or progress toward it is advantageous.

Responsibilities

• Conduct multi-asset investment and asset allocation research.
• Support portfolio construction, risk and performance attribution.
• Analyze across equities, fixed income, credit, commodities, currencies and alternatives.
• Develop and test quantitative investment models.
• Use Python and Excel to improve investment analytics and processes.
• Translate quantitative signals into actionable investment insights.

Skills

Quantitative analysis

Markets

Data interpretation

Investment research

Education

CFA (progress toward)

Tools

Python

Excel

Job description

We’re looking for a Quantitative Analyst to join our Portfolio Management & Asset Allocation team.

This is a great opportunity for someone in the early stages of their investment career who enjoys combining markets, data and quantitative analysis.

Working closely with the investment team, you’ll help shape our strategic, dynamic and tactical asset allocation thinking across the multi-asset universe.

You’ll get involved in:

• Multi-asset investment and asset allocation research
• Portfolio construction, risk and performance attribution
• Analysis across equities, fixed income, credit, commodities, currencies and alternatives
• Developing and testing quantitative investment models
• Using Python and Excel to improve our investment analytics and processes
• Turning quantitative signals into meaningful investment insights

We’re ideally looking for someone with 1–3 years’ quantitative investment experience, strong Python skills and a solid understanding of global financial markets and multi-asset investing.

CFA qualification, or progress towards it, would be an advantage.

If you’re curious about markets, comfortable with data and interested in developing a career at the intersection of quantitative research, asset allocation and portfolio management, we’d love to hear from you.

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