Senior Quantitative Analyst — Multi-Asset Portfolio Strategy

PPMG Ltd; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Pension up to 18%

Share Save / Share Incentive Plan

38 days annual leave

Time Off When You Need It

Inspiring Families policy - parental/m

Health & Protection cover

Job summary

Senior Quantitative Analyst at M&G in London. The Life Investment Office develops multi-asset solutions and performs rigorous portfolio analysis to guide investment decisions.

The role requires strong mathematical background, advanced Python skills, and experience in risk modelling and portfolio construction. You will contribute to strategic asset allocation and produce actionable insights for senior stakeholders.

Qualifications

• Strong mathematical and statistical background required.
• Extensive experience in quantitative investment and risk modelling.
• Proficiency in Python for portfolio analytics and tooling.

Responsibilities

• Support Strategic Asset Allocation and Reference Portfolios across multi-asset portfolios.
• Undertake quantitative portfolio analysis to assess risk and return characteristics.
• Develop portfolio optimization, scenario analysis and robustness-testing capabilities.
• Evaluate impact of investment assumptions, portfolio constraints and implementation considerations.
• Develop clear portfolio diagnostics and translate complex quantitative analysis into insights for senior investment decision-making.
• Develop and maintain quantitative models and analytical tools, with testing and version control.

Skills

Quantitative analysis

Portfolio construction

Investment risk

Python

Analytical thinking

Communication

Governance

Education

Strong quantitative academic background in mathematics, statistics, physics, computer science, financial engineering, economics or related field

Tools

Python

Job description

Senior Quantitative Analyst at M&G in London. The Life Investment Office develops multi-asset solutions and performs rigorous portfolio analysis to guide investment decisions.

The role requires strong mathematical background, advanced Python skills, and experience in risk modelling and portfolio construction. You will contribute to strategic asset allocation and produce actionable insights for senior stakeholders.