Details
Reference number
425458
Salary
£90,000 - £100,000
A Civil Service Pension with an employer contribution of 28.97%
GBP
Job grade
Other
Contract type
Permanent
Business area
DMO - Research Team - Quantitative Research and Analysis
Type of role
Analytical
Working pattern
Part-time
Number of jobs available
1
Contents
* Location
* About the job
* Benefits
* Things you need to know
* Apply and further information
Location
The city of London
About the job
Job summary
The DMO is looking to recruit a Co-Head of Quantitative Research and Analysison a part-time basis. Along with the other co-head, who works part time, the candidate will lead a small team of specialist analysts and developers undertaking quantitative analytical, modelling and research work in relation to the DMO's debt management function and other core activities. The role will require experience of leading a technical team within financial markets, providing strategic oversight, thought leadership and planning, as well as strong quantitative and econometric skills. Experience of using Artificial Intelligence (AI) models within a similar organisational setting would be beneficial. It is envisaged that the two co-heads will coordinate their working patterns to provide consistent leadership and coverage throughout the week.
Job description
About the team
The Policy and Markets area is responsible for: providing advice to HM Treasury on debt and cash management policy; the implementation of the government's financing programme; as well as other operational and advisory activities. Within this area, the Quantitative Research and Analysis team is responsible for carrying out analysis, research and briefing to support the DMO's core responsibilities and operations. The team works closely with the other Policy and Markets teams to help inform policy and on strategic initiatives including for HM Treasury.
Key responsibilities and main tasks and activities:
* Strategic oversight and planning of the team's work while managing and prioritising resources.
* Thought leadership and direction of research projects to help inform the DMO's advice, operations and policy initiatives and providing guidance to team members in their area of technical specialism.
* Continuous development of a relevant long-term research agenda in support of the DMO's goal of being a centre of excellence in government debt management.
* Assuring the quality of analysis and the capability of the team.
* Supporting the development of team members.
* Developing excellent working relationships with policy colleagues and other teams across the DMO and HMT and more widely across government and the public sector
Person specification
Essential Skills:
Leadership & Strategic Thinking
* Proven ability to lead and manage a technical team.
* Experience in strategic planning and prioritisation of analytical workstreams.
* Ability to develop and implement a long-term research agenda aligned with organisational goals
* Demonstrable ability to work collaboratively within a shared leadership model, including co-managing priorities and delivering outcomes with a co-head.
Technical & Analytical Expertise
* Strong quantitative and econometric skills, with the ability to apply these to relevant financial markets topics.
* Proficiency in programming languages such as MATLAB or Python for modelling and analysis.
* Deep understanding of financial markets, particularly fixed income instruments and debt management.
Communication & Collaboration
* Ability to communicate complex financial and analytical concepts clearly to both technical and non-technical audiences.
* Strong interpersonal skills to build effective working relationships across teams and departments.
* Experience in presenting analytical findings to senior stakeholders and policy teams.
Quality Assurance & Development
* Experience in assuring the quality and robustness of analytical outputs.
* Commitment to developing team capability through mentoring and knowledge sharing.
Innovation & Adaptability
Ability to identify emerging analytical techniques and apply them to improve organisational insight.
Qualification
* A degree (1st or 2:1) in a numerical discipline (e.g. mathematics, physics, statistics, engineering, or quantitative finance).
Desirable Skills-
* Postgraduate degree in a numerical discipline.
* Experience in applying AI or machine learning models in financial or policy contexts.
Benefits
Alongside your salary of £90,000, UK Debt Management Office contributes £26,073 towards you being a member of the Civil Service Defined Benefit Pension scheme. Find out what benefits a Civil Service Pension provides.
* Learning and development tailored to your role
* An environment with flexible working options
* A culture encouraging inclusion and diversity
* A Civil Service pension with an employer contribution of 28.97%
* For further details on our employee benefits please see our Candidate pack
Things you need to know
Selection process details
For this vacancy, we will use the Civil Service Success Profiles to assess candidates against the following Experience, Technical Skills, and Behaviours:
Experience- Proven leadership experience in an analytical role applying econometric and/or quantitative analysis in a financial institution, academia, or the public sector. (Lead)
Experience Proven track record of leading a team and working collaboratively in a shared leadership structure, with a co-head or equivalent.
Technical Skills- Proficiency in developing analytical insights and implementing econometric, financial, or pricing models using languages such as MATLAB or Python.
Technical Qualification- A degree (2:1 or above) in a numerical discipline such as mathematics, physics, statistics, econometrics, engineering, or quantitative finance
Behaviour-Communication and collaboration: Experience in presenting analytical findings to senior stakeholders and policy teams with ability to communicate complex financial and analytical concepts clearly to both technical and non-technical audiences.
Behaviour Working together- Strong interpersonal skills to build effective working relationships within and across teams, departments, and external stakeholders. Ability to foster a collaborative culture and work constructively with others to achieve shared goals.
Candidates – Please ensure your supporting statement and CV clearly demonstrate how you meet the Essential skills and criteria. The supporting statement and CV will be assessed.
Please note: a sift based on the lead criteria may be conducted if in the event of a large number of applications being received. Candidates who pass the initial sift may be progressed to a full sift or progressed straight to interview.
Supporting statement and CV
It is essential when submitting your personal statement that you provide as much detail as possible, and utilise the full word count given, explaining your motivation for the role and against the essential criteria outlined above as this will be used in conjunction with your CV to assess candidate suitability to move to the next stage of the recruitment process. Incomplete applications will not be reviewed.
AI
Artificial Intelligence can be a useful tool to support your application, however, all examples and statements provided must be truthful, factually accurate and taken directly from your own experience. Where plagiarism has been identified (presenting the ideas and experiences of others, or generated by artificial intelligence, as your own) applications may be withdrawn and in the case of internal candidates you may be subject to disciplinary action. Please see our candidate guidance for more information on appropriate and inappropriate use.
Interview-
At interview, we will use the Civil Service Success Profiles framework to assess you against your Experience, Technical Skills, and the following Behaviours:
Behaviours:
* Seeing the big picture
* Making effective decisions
* Leadership
* Communicating & Influencing
* Working Together
* Developing self and others
There will be a two-stage interview process for this vacancy.
Stage 1: Shortlisted candidates will be invited to a Fireside Chat (informal and not part of the assessment), followed by a formal interview.
Stage 2: Candidates who are successful at 1st stage interview will be invited to 2nd stage interview, which will include Occupational Personality Questionnaire (OPQ) assessment (for which you will be given prior notice) a presentation/ or task followed by interview, further details will be provided nearer the time.
Please visit the following pages to find out more:
* UK DMO Careers
* Career FAQ Page
If you need any reasonable adjustments to take part in the selection process, please tell us about this in your application form. If you would like to speak to the DMO recruitment team regarding this, you can contact them via email at A reserve list may be held for up to 12 months from which further appointments may be made for the same or similar roles.
Timetable
These dates are indicative and may be subject tochange:
Applications close at 23:55 on 28th September 2025
Sifting W/C 29th September 2025
1st Stage interview W/C 6th October 2025
2nd Stage interview W/C 27th October 2025
Please note: feedback will only be provided if you attend an interview or assessment
Feedback will only be provided if you attend an interview or assessment.
Security
Successful candidates must undergo a criminal record check.
Successful candidates must meet the security requirements before they can be appointed. The level of security needed is security check .
See our vetting charter .
People working with government assets must complete baseline personnel security standard (opens in new window) checks.
Nationality requirements
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)
* 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
Working for the Civil Service
The Civil Service Code sets out the standards of behaviour expected of civil servants.
We recruit by merit on the basis of fair and open competition, as outlined in the Civil Service Commission's recruitment principles .
The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria.
Diversity and Inclusion
The Civil Service is committed to attract, retain and invest in talent wherever it is found. To learn more please see the Civil Service People Plan and the Civil Service Diversity and Inclusion Strategy .
Apply and further information
This vacancy is part of the Great Place to Work for Veterans initiative.
Once this job has closed, the job advert will no longer be available. You may want to save a copy for your records.
Contact point for applicants
Job contact :
* Name : Recruitment
* Email :
Recruitment team
* Email :
Further information
If you feel at any time your application has not been treated in accordance with the values in the Civil Service Code and/or if you feel the recruitment has been conducted in such a way that conflicts with the Civil Service Commissioner's Recruitment Principles, you may make a complaint, by contacting us at in the first instance. If you are not satisfied with the response you receive you can contact the Civil Service Commissioners via, alternatively they can be contacted at the following address: G/8, 1 Horse Guards Road, London, SW1A 2HQ