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- Tasks: Join a dynamic team to develop risk management systems in decentralised finance.
- Company: Be part of the University of Edinburgh, a leader in computational finance research.
- Benefits: Enjoy a competitive salary and opportunities for publishing and presenting your work.
- Why this job: Work on cutting-edge projects that impact economic security and foster innovation.
- Qualifications: MSc or PhD in relevant fields; experience in software development and research excellence.
- Other info: Diverse candidates are encouraged to apply, including those returning from career breaks.
The predicted salary is between 30000 - 45000 £ per year.
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Research Assistant in Computational Finance
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Client:
The University of Edinburgh
Location:
United Kingdom
Job Category:
Other
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EU work permit required:
Yes
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Job Reference:
87df17e45d70
Job Views:
3
Posted:
25.08.2025
Expiry Date:
09.10.2025
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Job Description:
CSE / School of Mathematics
Full-time: 35 hours per week
Fixed-term: for 1 year
Applications are invited for the post of Research Associate (RA) in Computational Finance in the School of Mathematics, University of Edinburgh. The position is available from 1st November 2024 for a fixed term of 1 year, full-time contract.
The position is funded by the IORH grant: “DeFi risk metrics via multi-agent simulations”. The RA will work in interdisciplinary collaboration with researchers in Informatics and Mathematics. The project aims to develop risk management systems to enhance economic security in decentralised finance, utilizing tools from financial mathematics, quantitative finance, stochastic control, game theory, agent-based modeling, and reinforcement learning simulations.
We encourage applications from candidates with diverse career backgrounds, including those returning from career breaks or transitioning from other roles, to foster innovation and creativity in informatics and mathematics.
The Opportunity:
The Schools of Informatics and Mathematics at the University of Edinburgh are leading research centers in computational finance, financial mathematics, reinforcement learning, and related fields. The successful candidate will collaborate with IORH grant holders: Dr Aris Filos-Rastikas, Dr David Siska, and Prof Lukasz Szpruch, focusing on developing advanced theories and simulation techniques for automated risk management in decentralised finance. The postdoctoral researcher will be encouraged to publish, present their work, and develop open-source software tools.
Your skills and attributes for success:
- An MSc or PhD in agent-based modeling, game theory, mathematical finance, reinforcement learning, stochastic control, or related areas in mathematics, informatics, or computer science.
- A record of or potential for research excellence, demonstrated through preprints or publications.
- Passion for software development, evidenced by projects on platforms like Github.
- Interest in decentralised finance and motivation to develop tools for risk measurement, modeling, and understanding in DeFi protocols.
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Research Assistant in Computational Finance employer: The University of Edinburgh
Contact Detail:
The University of Edinburgh Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Assistant in Computational Finance
✨Tip Number 1
Network with professionals in the fields of computational finance and informatics. Attend relevant conferences or webinars to meet researchers and practitioners, as personal connections can often lead to job opportunities.
✨Tip Number 2
Engage with the research community by contributing to discussions on platforms like ResearchGate or LinkedIn. Sharing your insights on topics related to decentralised finance and risk management can help you stand out to potential employers.
✨Tip Number 3
Showcase your software development skills by working on open-source projects related to computational finance. This not only demonstrates your technical abilities but also your enthusiasm for the field, which is highly valued by employers.
✨Tip Number 4
Prepare to discuss your research interests and how they align with the goals of the IORH grant during interviews. Being able to articulate your vision for contributing to the project will make a strong impression on the hiring committee.
We think you need these skills to ace Research Assistant in Computational Finance
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly read the job description. Understand the key responsibilities and required skills for the Research Assistant position in Computational Finance at the University of Edinburgh.
Tailor Your CV: Craft your CV to highlight relevant experience in computational finance, mathematical finance, or related fields. Emphasise any projects or research that demonstrate your knowledge in reinforcement learning, stochastic control, or game theory.
Write a Strong Research Statement: Prepare a concise research statement (no more than 2 pages) that clearly connects your current research with the position. Highlight your enthusiasm for software development and any relevant projects, especially those involving Python and deep-learning libraries.
Arrange References: Contact at least two referees who can speak to your research potential and skills. Ensure they are prepared to send their references directly to the specified email address, quoting the reference number provided in the job listing.
How to prepare for a job interview at The University of Edinburgh
✨Showcase Your Research Background
Be prepared to discuss your previous research experiences in detail. Highlight any projects related to computational finance, reinforcement learning, or game theory, and explain how they connect to the role you're applying for.
✨Demonstrate Software Development Skills
Since enthusiasm for software development is crucial, be ready to talk about your experience with Python and any relevant deep-learning libraries. Mention specific projects on platforms like GitHub that showcase your coding abilities.
✨Understand the Interdisciplinary Nature
This position involves collaboration between mathematics and informatics. Familiarise yourself with both fields and be prepared to discuss how you can contribute to interdisciplinary projects, especially in decentralised finance.
✨Prepare Thoughtful Questions
At the end of the interview, ask insightful questions about the research team's current projects or future directions. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
