Client Solutions & Analytics: Quantitative Research Analyst - London

PIMCO is a global leader in active fixed income with deep expertise across public and private markets. We invest our clients' capital across a range of fixed income and credit opportunities, leveraging our decades of experience navigating complex debt markets. Our flexible capital base and deep relationships with issuers have helped us become one of the world’s largest providers of traditional and nontraditional solutions for companies that need financing and investors who seek strong risk‑adjusted returns. Since 1971, our people have shaped our organization through a high‑performance inclusive culture, in which we celebrate diverse thinking. We invest in our people and strive to imprint our CORE values of Collaboration, Openness, Responsibility and Excellence. We believe each of us is here to help others succeed and this has led to PIMCO being recognized as an innovator, industry thought leader and trusted advisor to our clients.

We are seeking a junior Quantitative Researcher to join our Client Solutions & Analytics team in London. Our team brings to bear PIMCO's intellectual capital, resources and proprietary infrastructure to help our clients make better investment decisions.

Team Overview

Founded in 2009 as one of the industry's first dedicated "Solutions" teams, we are a client‑facing team partnering with a diverse range of clients across geographies and channels. The team focuses on generating practical, decision‑relevant investment insights across several analytical lenses, including portfolio diagnostics (e.g. risk factor and scenario analysis), asset allocation and optimisation, and asset‑liability modelling. We also develop macro‑aware perspectives through capital market assumptions and cross‑asset insights, in both public and private markets, alongside producing thought leadership across a broad range of investment topics. Insights are delivered through customised analysis and written research, supporting client discussions and informing strategic investment decisions.

Responsibilities

• The role requires a solid understanding of all major asset classes and how they interact in a portfolio.
• Supporting the team in the delivery of asset allocation and risk management solutions to clients and prospects both in assets‑only and in ALM space working closely with senior members in the team, Account Management, Product Management and Portfolio Management.
• Use proprietary software and external data sources to run risk analytics, optimisations, economic scenario analyses and stress tests.
• Develop and maintain complex quantitative models and proprietary analytical tools.
• Perform risk management, attribution and other product analysis reports on a periodic basis as required.
• Support senior Strategists and Quantitative Research Analysts to generate thought leadership and asset class insights.
• Utilise AI‑enabled tools to streamline processes, enhance insights, and support the more efficient and scalable delivery of client analyses and the development of quantitative models.
• Manage a workload of multiple simultaneous projects, while ensuring that deadlines are met.

Requirements

• Master's degree in financial engineering or a closely related quantitative discipline (already completed or to be completed by the end of 2026); knowledge of asset pricing, fixed income, derivatives, and optimisation methods preferred.
• 0‑2 years of experience preferred in quantitative roles relating to investment strategy or asset allocation; backgrounds across buy‑side, sell‑side and advisory organisations will be considered.
• Excellent foundations in statistics and econometrics; experience analysing large data sets preferred.
• Proficiency in programming; Python required, with MATLAB a plus.
• Proficiency in AI toolkit; Claude code, Copilot CLI or GPT Codex.
• Strong interpersonal skills, ability to articulate ideas / strategies clearly, both verbally and in writing.
• Fluency in English with another European language desirable.
• Passion for financial markets, macroeconomics, investment management and financial modelling.
• Ability to tackle sophisticated problems efficiently to a tight‑deadline in a fast‑paced professional environment.

Benefits

PIMCO is committed to offering a comprehensive portfolio of employee benefits designed to support the health and well‑being of you and your family. Benefits vary by location but may include: Medical, dental, and vision coverage. Life insurance and travel coverage. Work/life programs such as flexible work arrangements, parental leave and support, employee assistance plan, commuter benefits, health club discounts, and educational/CFA certification reimbursement programs. Community involvement opportunities with The PIMCO Foundation in each PIMCO office.

Equal Employment Opportunity and Affirmative Action Statement

PIMCO recruits and hires qualified candidates without regard to race, national origin, ancestry, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender (including gender identity and expression), age, military or veteran status, disability (physical or mental), any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity and affirmative action, in accordance with all applicable federal, state, provincial and municipal laws.

Applicants with Disabilities

PIMCO is an Equal Employment Opportunity/Affirmative Action employer. We provide reasonable accommodation for qualified individuals with disabilities, including veterans, in job application procedures. If you have any difficulty using our online system due to a disability and you would like to request an accommodation, you may contact us at 949‑720‑7744 and leave a message. This is a dedicated line designed exclusively to assist job seekers with disabilities to apply online. Only messages left for this purpose will be considered. A response to your request may take up to two business days.