Client Solutions & Analytics: Quantitative Research Analyst – London

Overview

As a Junior Quantitative Researcher, you help translate complex market data into practical investment insights. You work on asset allocation, risk analysis, and ALM-focused analytics within a client-facing Solutions team. You’ll leverage proprietary tools and external data to build models, deliver stress tests, and support thought leadership. This role offers exposure to cross-asset research, macro perspectives, and technology-enabled, scalable client analyses in a fast-paced environment.

Pay / Benefits

• Medical, dental, and vision coverage
• Life insurance and travel coverage
• Flexible work arrangements and parental leave
• Employee assistance program and commuter benefits
• Education/CFA certification reimbursement
• Community involvement opportunities via The PIMCO Foundation

Responsibilities

• Support asset allocation and risk management solutions for clients and prospects in both assets-only and ALM contexts
• Run risk analytics, optimisations, economic scenario analyses and stress tests using proprietary software and external data
• Develop and maintain complex quantitative models and analytical tools
• Produce risk management, attribution and product analysis reports periodically
• Assist senior Strategists and QRs to generate insights and thought leadership
• Utilise AI-enabled tools to streamline processes and scale client analyses
• Manage multiple projects with tight deadlines
• Collaborate with Account Management, Product Management and Portfolio Management

Key requirements

• Master’s degree in a quantitative discipline (completed or by end of 2026) with knowledge of asset pricing, fixed income, derivatives, and optimization methods
• 0-2 years in quantitative roles related to investment strategy or asset allocation
• Strong foundations in statistics and econometrics; experience with large data sets preferred
• Proficiency in Python; MATLAB a plus
• Experience with AI toolkit (Claude code, Copilot CLI or GPT Codex)
• Strong interpersonal and written/verbal communication skills
• English fluency; another European language desirable
• Passion for financial markets, macroeconomics, investment management and financial modelling
• Ability to handle sophisticated problems under tight deadlines

• strong communication
• team collaboration
• problem solving
• Python
• MATLAB
• statistical analysis

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