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- Tasks: Develop and maintain financial models, write code, and solve real-world financial problems.
- Company: Join a fast-growing consultancy partnering with top financial institutions in Newcastle or Madrid.
- Benefits: Enjoy a competitive salary, flexible work culture, and opportunities for professional growth.
- Why this job: Work on impactful projects in a collaborative team, gaining hands-on experience in finance.
- Qualifications: Postgraduate degree in a quantitative field and prior experience in financial services required.
- Other info: Visa sponsorship is not available; applicants must have the right to work in the UK or Spain.
The predicted salary is between 28800 - 48000 £ per year.
4 days ago Be among the first 25 applicants
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Direct message the job poster from Chi Square Economics
Senior Consultant at Chi Square Economics
Quantitative Researcher (Applied Modelling & Financial Analytics) – competitive salary –
Newcastle Upon Tyne, UK or Madrid, Spain
We’re working with a fast-growing, technically driven consultancy as it expands its quantitative research team in both Newcastle and Madrid. The firm partners with leading financial institutions on a broad range of projects — from pricing and risk analytics to trading tools and model development — offering the chance to apply advanced technical skills to high-impact, real-world problems.
This is an ideal opportunity for someone with a solid foundation in quantitative finance and programming, who is now looking to take on more responsibility and contribute to full-lifecycle development across both research and delivery.
You’ll be working in a team that designs, builds, and implements models and analytical tools used in derivatives pricing, trading, and risk management. The role combines technical depth with hands-on exposure to real financial products and market data.
Responsibilities:
- Developing and maintaining pricing, risk, and trading models across multiple asset classes
- Writing clean, production-quality code to support model deployment and tool development
- Using data and statistical methods to solve practical financial problems
- Collaborating with stakeholders across quant, dev, and client-facing teams
- Supporting and enhancing existing models and tools as market needs evolve
The ideal candidate will bring a combination of technical fluency, financial product knowledge, and a strong interest in solving complex challenges. You’ll be comfortable working independently on model development while also contributing as part of a collaborative and fast-paced team.
Key Qualifications
- Postgraduate degree (MSc or PhD) in a highly quantitative subject (e.g. Mathematics, Physics, Engineering) from a top-tier university
- Prior experience in financial services or fintech (e.g. investment bank, asset manager, hedge fund, or analytics provider)
- Working understanding of derivatives pricing, modelling, or risk analytics (e.g. in Rates, Equities, or structured products)
- Strong coding ability in one or more of: C#, C++, Python, Java
- Exposure to machine learning or advanced statistical methods is a plus
- Strong academic performance at A-Level (or equivalent)
Please note: applicants must have the right to work in the UK or Spain. Visa sponsorship is not available for this role.
- Competitive salary and benefits package
- Hands-on work in real financial markets with high visibility
- Fast-paced yet balanced working culture — with a focus on quality, not long hours
- Opportunities to learn from experienced quants, software engineers, and finance professionals
- Growth and progression potential in a business with long-term backing and ambitious plans
If you’re looking for a role that builds on your existing experience and challenges you with meaningful work in quantitative finance, this could be a fantastic next step in your career.
Please apply or please reach out to Andrew for a confidential discussion to learn more about this opportunity (aroney@chisquare-econ.com).
By applying to this advert you agree to your personal details being held on file in relation to this and other future relevant opportunities.
Seniority level
-
Seniority level
Mid-Senior level
Employment type
-
Employment type
Full-time
Job function
-
Job function
Analyst
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Industries
Software Development and Financial Services
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Quantitative Researcher (Applied Modelling & Financial Analytics) employer: Chi Square Economics
Contact Detail:
Chi Square Economics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher (Applied Modelling & Financial Analytics)
✨Tip Number 1
Familiarise yourself with the latest trends in quantitative finance and programming languages relevant to the role, such as Python or C++. This will not only boost your confidence but also demonstrate your commitment to staying updated in a fast-evolving field.
✨Tip Number 2
Network with professionals in the financial services and fintech sectors. Attend industry events or webinars where you can connect with current employees at Chi Square Economics or similar firms, as personal connections can often lead to job opportunities.
✨Tip Number 3
Prepare to discuss specific projects or experiences that showcase your quantitative skills and problem-solving abilities. Be ready to explain how you've applied statistical methods or developed models in previous roles, as this will highlight your practical experience.
✨Tip Number 4
Research Chi Square Economics thoroughly, including their recent projects and partnerships. Understanding their work will allow you to tailor your discussions and show genuine interest during any interviews or conversations with the hiring team.
We think you need these skills to ace Quantitative Researcher (Applied Modelling & Financial Analytics)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in quantitative finance, programming skills, and any previous roles in financial services. Use specific examples that demonstrate your ability to develop models and analytical tools.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background aligns with the responsibilities listed in the job description, particularly your experience with derivatives pricing and risk analytics.
Showcase Technical Skills: Clearly outline your coding abilities in languages such as C#, C++, Python, or Java. If you have experience with machine learning or advanced statistical methods, be sure to mention these as they are valuable for the role.
Highlight Collaborative Experience: Since the role involves working with various teams, include examples of past collaborative projects. Emphasise your ability to work independently while also contributing effectively within a team environment.
How to prepare for a job interview at Chi Square Economics
✨Showcase Your Technical Skills
Be prepared to discuss your coding abilities in languages like C#, C++, Python, or Java. Bring examples of your previous work or projects that demonstrate your technical fluency and problem-solving skills in quantitative finance.
✨Understand Financial Products
Brush up on your knowledge of derivatives pricing, risk analytics, and the specific asset classes relevant to the role. Being able to discuss these topics confidently will show your understanding of the financial landscape and how it relates to the consultancy's work.
✨Prepare for Practical Problem-Solving
Expect to face real-world financial problems during the interview. Practice using data and statistical methods to solve these issues, as this will be a key part of your role. Think through how you would approach model development and tool enhancement.
✨Demonstrate Collaborative Spirit
Since the role involves working with various teams, be ready to share examples of how you've successfully collaborated in the past. Highlight your ability to communicate effectively with both technical and non-technical stakeholders.
