Quantitative Research Analyst
Job in
London, Greater London, W1B, England, UK
Listed on 2026-10-23
Listing for:
Pimco
Full Time
position Listed on 2026-10-23
Job specializations:
-
Finance & Banking
Risk Manager/Analyst, Data Scientist, Portfolio & Asset Management
Job Description & How to Apply Below
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.
JOB DESCRIPTION PIMCO has relied on systematic approaches and quantitative rigor to drive alpha in fixed income markets for over 30 years. We are seeking a Quantitative Research Analyst to continue to build upon our expansive quantitative capabilities and help drive new initiatives in our Portfolio Management - Implementation team in London. You will proactively engage with our Portfolio Managers and Technologists across various mandates with a focus on deepening our approaches to systematic portfolio construction, re-engineering portfolio processes and optimal execution.
Our ideal candidate will be a self-starter with a quantitative background, good practical portfolio construction experience and a strong grounding in data science. The candidate will have a strong commitment to rigor and excellence in research, whilst not losing sight of practicalities in delivering results. They will also have the ability to communicate complicated technical issues clearly to senior management and Portfolio Managers.
Daily responsibilities include working closely with Portfolio Managers on portfolio construction, enhancing efficient trade processes and execution strategies across fixed income asset classes including global rates, credit, currencies and securitized products. The role provides opportunities to work with PIMCO’s world-class PM and trading functions to implement these signals and techniques in portfolios.
REQUIREMENTS Degree in finance, computer science, statistics, engineering, economics, econometrics, or a related field3+ years of experience in the financial industry working on portfolio construction, optimisation and trading processes; and exposure to quantitative techniques
Excellent analytical and quantitative skills, with strong attention to detail and the ability to drive results
Strong programming skills and numerical problem-solving techniques; proficiency with Python Exposure to optimisation techniques and experience addressing large-scale portfolio construction problems would be beneficial.
Self-starter, willing to lead by doing
Strong verbal communication skills with the ability to articulate issues and solutions to portfolio managers, credit researchers and developers
Ethical, collaborative, organized, flexible, high energy, accountable, humble.
Equal Employment Opportunity and Affirmative Action StatementPIMCO 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…
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
Search for further Jobs Here:
×