Summer Quant Research & Client Solutions Intern (MFE)

PIMCO Europe Ltd.

Greater London

Hybrid

GBP 20,000 - 31,000

Full time

14 days+
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Benefits offered by this job

Relocation bonus

Job summary

PIMCO Europe Ltd. in London offers a 10-week Summer Internship in Client Solutions & Analytics (MFE). You will partner with clients to develop expertise across multi-asset topics and gain hands-on experience in portfolio construction and risk analyses.

The role requires a Master’s in Financial Engineering or related field, strong statistics/econometrics foundations, and programming skills (Python essential; MATLAB a plus). English proficiency is required and relocation support may be provided.

Qualifications

  • Pursuing a Master's degree in Financial Engineering or related quantitative discipline.
  • Business proficiency in English; eager to work in London.
  • Strong foundations in statistics/econometrics; data analysis experience preferred.
  • Proficiency in programming; Python required, MATLAB a plus.

Responsibilities

  • Support asset allocation and risk management solutions for clients.
  • Run risk analytics, optimisations, scenario analyses and stress tests using proprietary/external data.
  • Develop quantitative models and analytical tools for portfolio insights.
  • Produce risk attribution and product analysis reports on a periodic basis.
  • Utilise AI-enabled tools to improve efficiency and insights.

Skills

Interest in markets
Statistics & econometrics
Programming: Python
MATLAB
Interpersonal skills
English fluency
Other language desirable
Time management

Education

Master's in Financial Engineering or related

Tools

Python
MATLAB
AI tools

Job description

PIMCO Europe Ltd. in London offers a 10-week Summer Internship in Client Solutions & Analytics (MFE). You will partner with clients to develop expertise across multi-asset topics and gain hands-on experience in portfolio construction and risk analyses.

The role requires a Master’s in Financial Engineering or related field, strong statistics/econometrics foundations, and programming skills (Python essential; MATLAB a plus). English proficiency is required and relocation support may be provided.

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