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- Tasks: Support analytical and modelling tasks in a dynamic government environment.
- Company: Join a prestigious government organisation making impactful decisions.
- Benefits: Enjoy a competitive salary, excellent pension, and hybrid work options.
- Why this job: Make a real impact on debt management policy and strategic decision-making.
- Qualifications: Degree in a numerical discipline; MSc students are welcome to apply.
- Other info: Candidates must have lived in the UK for 3 of the last 5 years.
The predicted salary is between 39000 - 77000 £ per year.
A very prestigious government organisation are looking for a Quantitative Analyst to play a central role in supporting the analytical, modelling and research capabilities of their Research & Analysis Team. This role offers a unique opportunity to contribute to the DMOs core mandate by delivering high-quality quantitative analysis to support debt management policy, market operations, and strategic decision-making. We are looking for an individual who has a passion for Economics and finance who would thrive in a dynamic environment and can make a real impact.
Key Responsibilities/Accountabilities
- Contribute to the research work that the team undertakes as part of the organisations annual remit advice for HM Treasury.
- Conduct analysis and quantitative research to help inform the organisations operations and policy initiatives.
- Contribute to the forecasting work that the organisation undertakes for fiscal events on behalf of the Office for Budget Responsibility.
- Assist in the specification and testing of enhancements to the organisations operational systems, analytical tools and models, including its portfolio simulation tool, yield curve model, and pricing models.
- Manipulate and analyse multiple datasets for the evaluation of auctions and bond syndications.
- Respond to technical queries from external stakeholders.
Essential: 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. The client welcomes current MSc students predicted to pass the course this academic year (2024-25). Please note you will be asked to provide evidence of this.
Interview Process: Candidates will be assessed against the Civil Service Success Profiles, focusing on strengths, behaviours, experience, and technical skills. Successful applicants will prepare a presentation for the second stage of the interview process.
Important: You must have lived in the UK for at least 3 out of the past 5 years to be eligible for National Security Vetting. Please send your CV for immediate consideration.
Quantitative Analyst employer: Keystream Group Limited
Contact Detail:
Keystream Group Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Analyst
✨Tip Number 1
Familiarise yourself with the Civil Service Success Profiles, as this is a key part of the interview process. Understanding the strengths and behaviours they look for can help you tailor your responses during the interview.
✨Tip Number 2
Prepare a presentation that showcases your analytical skills and understanding of quantitative methods. Make sure to include relevant examples from your studies or previous work experience that demonstrate your ability to conduct high-quality analysis.
✨Tip Number 3
Network with professionals in the field of quantitative analysis, especially those who have experience in government roles. This can provide you with insights into the role and may even lead to valuable referrals.
✨Tip Number 4
Stay updated on current economic policies and trends, particularly those related to debt management and fiscal events. Being knowledgeable about these topics will not only help you in interviews but also show your genuine interest in the role.
We think you need these skills to ace Quantitative Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your quantitative skills and relevant experience. Emphasise any coursework or projects related to economics, finance, or data analysis that align with the job description.
Craft a Strong Cover Letter: Write a cover letter that showcases your passion for economics and finance. Mention specific experiences that demonstrate your analytical abilities and how they relate to the responsibilities of the role.
Highlight Relevant Qualifications: Clearly state your degree(s) and any postgraduate qualifications. If you are a current MSc student, mention your expected graduation date and any relevant coursework or projects that showcase your analytical skills.
Prepare for the Interview: Since the interview process includes a presentation, think about how you can effectively communicate your analytical findings. Practice presenting complex data in a clear and concise manner, as this will be crucial for the second stage of the interview.
How to prepare for a job interview at Keystream Group Limited
✨Showcase Your Analytical Skills
As a Quantitative Analyst, your ability to analyse data is crucial. Be prepared to discuss specific examples of how you've used quantitative methods in previous roles or projects. Highlight any relevant tools or software you are proficient in.
✨Understand the Organisation's Mandate
Familiarise yourself with the core mandate of the government organisation and its impact on debt management policy. This will help you demonstrate your passion for economics and finance, as well as your understanding of the role's significance.
✨Prepare for Technical Questions
Expect technical questions related to quantitative analysis, forecasting, and data manipulation. Brush up on your knowledge of statistical models and analytical tools that are relevant to the role, as this will show your preparedness and expertise.
✨Practice Your Presentation Skills
Since you'll need to prepare a presentation for the second stage of the interview, practice delivering it clearly and confidently. Make sure to structure your presentation logically and engage your audience with relevant insights and data.
