Year in Industry – Asset Allocation Programme – London – 2027

Company: Legal & General Investment Management
Apply for the Year in Industry – Asset Allocation Programme – London – 2027
Location: London
Job Description:

Overview

As a Year in Industry placement in L&G’s Asset Allocation team, you’ll gain hands‑on experience supporting multi‑asset portfolio analysis and client communications. You’ll work with economists, strategists and investment specialists to understand market developments and inform investment decisions. The programme emphasizes learning, networking and personal development within an inclusive Future Talent community. You’ll contribute to real projects, develop quantitative and communication skills, and build a foundation for your future career.

Pay / Benefits

  • Life assurance
  • At least 25 days holiday, plus public holidays
  • Discounts on own products and partner retailers
  • Net-zero carbon workplaces by 2030
  • Flexible working options and job sharing where possible

Responsibilities

  • Contribute to research and analysis that informs asset allocation decisions and portfolio positioning
  • Collaborate on live investment questions and monitor daily market developments
  • Support day‑to‑day management of multi‑asset portfolios
  • Assist in client communications about portfolios and investment activity
  • Take ownership of longer‑term projects to develop quantitative and investment skills
  • Analyze financial and time‑series data using qualitative and quantitative methods
  • Present findings and develop communication skills

Key requirements

  • On track for a 2.1
  • Penultimate‑year student on a four‑year course, graduating 2028
  • GCSE Maths and English Grade 5
  • Some coding experience
  • Open to learning and collaborative to learn from others
  • Willing to develop organisational skills and manage priorities
  • Open to learning and curious
  • Teamwork and ability to learn from different perspectives
  • Communication and willingness to ask questions and accept feedback
  • Familiarity with Python
  • Microsoft Excel
  • Experience with analysing time‑series data

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Posted: October 24th, 2026