Client Solutions & Analytics: Quantitative Research Analyst – London

Client Solutions & Analytics: Quantitative Research Analyst – London

London Full-Time 30000 - 40000 £ / year (est.) No working from home possible
LGBT Great

At a Glance

  • Tasks: Support asset allocation and risk management solutions using advanced analytics and quantitative models.
  • Company: Join PIMCO, a leading investment management firm with a commitment to innovation.
  • Benefits: Enjoy comprehensive benefits including health coverage, flexible work arrangements, and educational support.
  • Other info: Collaborate with experts and gain insights into investment strategies and asset classes.
  • Why this job: Make an impact in financial markets while developing your skills in a fast-paced environment.
  • Qualifications: Master’s degree in a quantitative field and proficiency in Python required.

The predicted salary is between 30000 - 40000 £ per year.

Responsibilities

  • 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.

The company also prohibits discrimination on other basis such as medical condition, or marital status under applicable 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.

Client Solutions & Analytics: Quantitative Research Analyst – London employer: LGBT Great

PIMCO is an exceptional employer that prioritises the well-being and professional growth of its employees, offering a comprehensive benefits package that includes flexible work arrangements, educational reimbursement, and community involvement opportunities. Located in London, the company fosters a collaborative and innovative work culture where you can engage with cutting-edge AI tools and quantitative models, while working alongside experienced professionals in the financial sector. With a commitment to diversity and inclusion, PIMCO ensures a supportive environment for all employees, making it an ideal place for those seeking meaningful and rewarding careers in finance.

LGBT Great

Contact Details:

LGBT Great Recruitment Team

We think you need these skills to ace Client Solutions & Analytics: Quantitative Research Analyst – London

Quantitative Analysis
Risk Management
Asset Allocation
Financial Modelling
Statistical Analysis
Econometrics
Data Analysis