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Quantitative Analyst

Michael Page (UK)

London

Hybrid

GBP 45,000 - 55,000

Full time

3 days ago
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Job summary

A respected public sector institution in London seeks a Quantitative Analyst to contribute to research and analysis for HM Treasury. The role requires a numerical degree and programming skills, with a competitive salary and excellent benefits, including a Civil Service pension scheme. The position is hybrid, requiring 60% office attendance.

Benefits

Civil Service pension scheme
Excellent benefits package

Qualifications

  • Degree (1st or 2.1) in a numerical discipline.
  • Experience in analytical roles or postgraduate degree is preferred.
  • Current MSc students expected to pass in 2024/25 are welcomed.

Responsibilities

  • Conduct analysis and quantitative research for HM Treasury.
  • Contribute to forecasting for fiscal events.
  • Manipulate and analyze data sets for auctions and bond syndications.

Skills

Analytical skills
Python
Matlab
Excel

Education

Degree in numerical discipline (maths, physics, statistics, engineering)
Postgraduate degree in numerical discipline

Job description

  • Great for someone with a numerical degree/experience in an analytical role.
  • Python or Matlab programme exposure

About Our Client

This London based organisation is a respected public sector institution, located in the heart of London. As a large organisation, it has a significant role in providing support to the UK Government.

Job Description

The Quantitative Analyst will be responsible for:

  • Contributing to the research work that the team undertakes as part of the annual remit advice for HM Treasury.
  • Conducting analysis and quantitative research to help inform the operations and policy initiatives of the organisation.
  • Contributing to the forecasting work that is undertaken for fiscal events on behalf of the Office for Budget Responsibility/
  • Assisting in the specification and testing of enhancements to operational systems, analytical tools and models, pricing models, yield curve model and simulation tool.
  • Manipulating and analysing multiple data sets for the evaluation of auctions and bond syndications.

The Successful Applicant

The successful Quantitative Analyst will have a degree (1st or 2.1) in a numerical discipline (e.g. maths, physics, statistics, engineering, etc) or quantitative finance as well as either a postgraduate degree in a numerical disciple or relevant work experience in an analytical role.

You should also have experience in one programming language, ideally Python and/or Matlab, as well as strong Excel skills.

Current MSc students predicted to pass the course this academic year (2024/25) are welcomed to apply.

What's on Offer

A salary range of £45,000 to £55,000 dependent on previous experience plus an excellent benefits package including the ability to join the Civil Service pension scheme.

The position is a Hybrid role and you will be expected to be in the office 60% of the time.

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