Quantitative Analyst

Reed; Greater London; Hybrid; GBP 50,000 - 75,000; Full time

Job summary

A leading company is seeking a Quantitative Analyst to join their Research & Analysis Team in London. The role involves delivering high-quality quantitative analysis to support debt management policy and market operations. Candidates should possess a strong numerical background and programming skills, particularly in Python and Matlab. This position offers a hybrid working model and a competitive salary.

Benefits

Competitive salary

Comprehensive benefits package

Government pension contribution of 28.97%

Qualifications

• Degree in maths, physics, statistics, engineering or quantitative finance required.
• Experience in analytical roles preferred.

Responsibilities

• Develop and maintain models related to bond market and macroeconomic trends.
• Design and conduct empirical research and analyze large datasets.
• Collaborate across teams and provide impactful analysis.

Skills

Python

Matlab

Excel

Financial Markets Knowledge

Data Manipulation

Statistical Techniques

Communication

Education

Good degree in a numerical discipline

Postgraduate degree in a numerical discipline

Job description

1 day ago Be among the first 25 applicants

This range is provided by Reed. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Senior Consultant | Development, Testing & Data | London

Quantitative Analyst

• Location: London
• Job Type: Permanent

Join our Research & Analysis Team as a Quantitative Analyst and play a pivotal role in supporting our analytical, modelling, and research capabilities. This position offers a unique opportunity to contribute to our core mandate by delivering high-quality quantitative analysis to support debt management policy, market operations, and strategic decision-making.

Day-to-day of the role:

• Develop and maintain models related to the bond market, interest rates, and broader macroeconomic trends.
• Design and conduct empirical research, analyse large datasets, and produce rigorous insights to inform both internal discussions and external communications.
• Collaborate across teams, contribute to broader research agendas, and engage with senior stakeholders, by providing clear and impactful analysis.
• Assist in the specification and testing of enhancements to operational systems, analytical tools, and models.
• Manipulate and analyse multiple datasets for the evaluation of auctions and bond syndications.
• Respond to technical queries from external stakeholders.

Required Skills & Qualifications:

• A good degree (1st or 2:1) in a numerical discipline (e.g., maths, physics, statistics, engineering) or quantitative finance, plus either a postgraduate degree in a numerical discipline or relevant work experience in an analytical role.
• Proficiency in one programming language, ideally Python and/or Matlab, as well as Excel.
• Knowledge of financial markets and economics.
• Ability to manipulate and analyse complex data from a wide range of sources.
• Experience using mathematical and statistical techniques for problem-solving.
• Ability to communicate complex financial concepts clearly to both technical and non-technical audiences.
• Hybrid working model (40% remote, 60% in-office as per Civil Service guidelines).
• Competitive salary and comprehensive benefits package.
• Government pension contribution of 28.97%.
• Supporting Statement and CV: Provide detailed information against the essential criteria outlined above. Utilise the full word count given (750 max) as this will be used in conjunction with your CV to assess candidate suitability.
• Interview Process: Candidates successful at the initial stage will be asked to prepare a presentation for the second stage interview. The topic will be provided prior to the interview.

If you need any reasonable adjustments to take part in the selection process, please mention this in your application form.

Working Arrangements:

• The role is based on a 36-hour work week excluding lunch breaks.
• We are a flexible employer understanding of health or caring responsibilities.

Eligibility Statement:

• Subject to National Security Vetting. Applicants normally need to have lived in the UK for at least 3 out of the past 5 years.

Data Protection:

• Your personal details relating to your application will be kept for a maximum of two years for audit purposes only after which it will be securely destroyed.

To apply for the Quantitative Analyst position, please submit your CV and supporting statement detailing your relevant experience and qualifications.

Seniority level

• Seniority level

  Associate

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology and Finance

• Industries

  Technology, Information and Media, Information Services, and Financial Services

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