Leading Global Investment Management Firm

We’re working with a leading global investment management firm looking to hire aMulti-Asset Research Analystto join its investment solutions platform in London. This is a high-impact role for someone with a strong interest in global markets, tactical asset allocation, and applied research, who is eager to contribute directly to portfolio positioning across asset classes.

The Opportunity:

You’ll be joining a collaborative, research-driven team responsible for constructing outcome-oriented multi-asset portfolios. The role blends systematic and discretionary research, requiring a broad understanding of global macro trends, market dynamics, and investment implementation. You’ll work closely with portfolio managers and fellow researchers to drive investment views that influence real capital allocation decisions.

Responsibilities:

• • Support tactical asset allocation across equities, rates, credit, FX, and alternatives through both systematic and fundamental research.
  • Build and refine quantitative models to generate signals, assess macroeconomic risk, and back test asset allocation strategies.
  • Conduct global macro research to identify and articulate investable themes and positioning opportunities.
  • Translate complex market and economic data into clear, actionable insights for portfolio implementation.
  • Partner with the Head of Research and investment teams to integrate views across disciplines into portfolio strategies.
  • Develop scalable Python-based tools and analytics using modern data science libraries.

What We’re Looking For:

• • 5+ years of experience in investment research, macro strategy, multi-asset investing, or capital markets.
  • Proven ability to generate research that directly informs portfolio construction and tactical positioning.
  • Strong cross-asset knowledge and understanding of macroeconomic drivers.
  • Comfortable working across both quantitative and fundamental research approaches.
  • Advanced Python programming skills and experience in systematic model development and back testing.
  • Highly analytical, intellectually curious, and detail-oriented, with a strong practical focus.
  • Excellent written and verbal communication skills, able to distil complex ideas for internal stakeholders.

To apply please send a copy of your cv to