Quantitative Analyst

The Quantitative Analyst will play a central role in supporting the analytical, modelling and research capabilities of the DMO’s Research & Analysis Team. This role offers a unique opportunity to contribute to the DMO’s core mandate by delivering high-quality quantitative analysis to support debt management policy, market operations, and strategic decision-making.

Working at the intersection of economics, finance, and statistics, the analyst will develop and maintain models related to the bond market, interest rates, and broader macroeconomic trends. The role involves designing and conducting empirical research, analysing large datasets, and producing rigorous insights to inform both internal discussions and external communications.

The successful candidate will combine strong problem-solving abilities and meticulous attention to detail with a solid grounding in coding, statistical techniques, and macroeconomic or financial modelling. They will be comfortable delivering high-quality analysis at pace when required, and will be encouraged to collaborate across teams, contribute to the DMO’s broader research agenda, and engage with senior stakeholders, including HM Treasury, by providing clear and impactful analysis.

Key Responsibilities/Accountabilities

1. Contribute to the research work that the team undertakes as part of the DMO’s annual remit advice for HM

Treasury.

2. Conduct analysis and quantitative research to help inform the DMO’s operations and policy initiatives.

3. Contribute to the forecasting work that the DMO undertakes for fiscal events on behalf of the Office for Budget Responsibility.

4. Assist in the specification and testing of enhancements to the DMO’s operational systems, analytical tools

and models, including its portfolio simulation tool, yield curve model, and pricing models.

5. Manipulate and analyse multiple datasets for the evaluation of auctions and bond syndications.

6. Respond to technical queries from external stakeholders.

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 discipline or relevant work experience in an analytical role. [Lead criteria] We welcome current MSc students predicted to pass the course this academic year (2026-27). Please note you will be asked to provide evidence of this.

This job is broadly open to the following groups:

• UK nationals
• nationals of the Republic of Ireland
• nationals of Commonwealth countries who have the right to work in the UK
• nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities with settled or pre-settled status under the European Union Settlement Scheme (EUSS) (opens in a new window)
• nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities who have made a valid application for settled or pre-settled status under the European Union Settlement Scheme (EUSS)
• individuals with limited leave to remain or indefinite leave to remain who were eligible to apply for EUSS on or before 31 December 2020
• Turkish nationals, and certain family members of Turkish nationals, who have accrued the right to work in the Civil Service

Further information on nationality requirements (opens in a new window)

This vacancy is using Success Profiles (opens in a new window), and will assess your Behaviours, Strengths, Experience and Technical skills.

To apply please submit a CV and provide examples against the criteria listed.

We are expecting to sift w/c 16th November with fist stage interviews taking place w/c 30th November and second stage w/c 7th December.

Candidates who are successful at the first stage of interviews will be asked to prepare a presentation for the second stage interview. The topic of the presentation will be provided prior to the interview be conducted.

Feedback will only be provided if you attend an interview or assessment.