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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 ÂŁ per year.
Research Assistant in Computational Finance
Join to apply for the Research Assistant in Computational Finance role at The University of Edinburgh
Research Assistant in Computational Finance
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Join to apply for the Research Assistant in Computational Finance role at The University of Edinburgh
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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 post is available from 1 st November 2024 for a fixed term of 1 year, full-time contract.
Job Description
Grade UE06: £34,610 – £39,906 per annum
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 post is available from 1 st 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 is to work in interdisciplinary fashion with researchers in both Informatics and Mathematics. This project will develop principled risk management systems to improve economic security in decentralised finance using established tools from financial mathematics / quantitative finance / stochastic control / game theory augmented by agent-based and reinforcement learning based simulations.
To maximise innovation and creativity in informatics / mathematics, applications from candidates with diverse career paths, including those returning from a career break or following time in other roles, are encouraged.
The Opportunity
The Schools of Informatics and Mathematics at the University of Edinburgh are at the forefront of research in computational finance / financial mathematics / quantitative finance / reinforcement learning. The successful candidate will work with the IORH grant holders: Dr Aris Filos-Rastikas (Informatics), Dr David Siska (Mathematics), Prof Lukasz Szpruch (Mathematics) on developing state-of-the-art theory and simulation techniques for automated risk-management in decentralised finance. The PDRA will be encouraged to publish and present their results as well as to develop open-source software tools.
Applicants should have a working knowledge in at least one of the following areas: computational finance, mathematical finance, reinforcement learning, stochastic control, game theory or related areas of mathematics / informatics / computer science. They should have a track record of or potential for research excellence. They should be enthusiastic about software development and have working knowledge of python and relevant deep-learning libraries (e.g. torch).
Please upload a CV and a research statement outlining how your current research connects with the position (no more than 2 pages) when applying for the post via the online recruitment system. In addition please arrange for at least 2 references to be sent direct to references@maths.ed.ac.uk quoting the reference number 12945.
Your Skills And Attributes For Success
- An MSc or PhD in agent-based modelling, game theory, mathematical finance, reinforcement learning, stochastic control or related areas of mathematics / informatics / computer science.
- Track record of or potential for research excellence, evidenced by e.g. preprints / publication record.
- Enthusiasm about software development, evidenced by e.g. projects on Github.
- Interest in decentralised finance and strong motivation to develop tools to measure, model and understand risk in decentrilsed finance protocols.
Click to view a copy of the full job description (opens new browser tab).
As a valued member of our team you can expect:
- A competitive salary.
- An exciting, positive, creative, challenging and rewarding place to work.
- To be part of a diverse and vibrant international community.
- Comprehensive Staff Benefits, such as a generous holiday entitlement, competitive pension schemes, staff discounts, and family-friendly initiatives. Check out the full list on our staff benefits page (opens in a new tab) and use our reward calculator to discover the total value of your pay and benefits.
Championing equality, diversity and inclusion
The University of Edinburgh holds a Silver Athena SWAN award in recognition of our commitment to advance gender equality in higher education. We are members of the Race Equality Charter and we are also Stonewall Scotland Diversity Champions, actively promoting LGBT equality.
Prior to any employment commencing with the University you will be required to evidence your right to work in the UK. Further information is available on our right to work webpages (opens new browser tab).
On this occasion the University will not consider applicants requiring sponsorship for this role. International workers will therefore only be able to take up this role if they can demonstrate an alternative right to work in the UK.
Key dates to note
The closing date for applications is 3 September 2025.
Unless stated otherwise the closing time for applications is 11:59pm GMT. If you are applying outside the UK the closing time on our adverts automatically adjusts to your browsers local time zone.
Interviews will be held a few weeks after the closing deadline.
About Us
As a world-leading research-intensive University, we are here to address tomorrow’s greatest challenges. Between now and 2030 we will do that with a values-led approach to teaching, research and innovation, and through the strength of our relationships, both locally and globally.
About The Team
The School of Mathematics
The University of Edinburgh\’s School of Mathematics is one of the world’s leading mathematical sciences departments, home to world-class researchers and to an innovative educational environment for both undergraduates and postgraduates. We are proud to have a highly international faculty and students from around the world. As a School we value both the breadth and depth of our research and teaching.
We have around 110 permanent faculty and around 45 research fellows and research associates, who cover a broad range of research topics in pure and applied mathematics, operational research and statistics. The School has an enviable record of attracting prestigious fellowships and currently hosts, for instance, 6 ERC grant holders and 7 Royal Society University Research and Dorothy Hodgkin Fellows. In the 2023 Shanghai Global Ranking of Academic Subjects we are ranked 18 th among the world’s best Mathematics departments. Together with the Departments of Mathematics and Actuarial Mathematics & Statistics at Heriot-Watt University, we form the Maxwell Institute; our joint submission to REF2021was ranked 3rd in the UK for Mathematical Sciences by research power, based on the quality and breadth of our combined research.
The School delivers a world-leading educational experience for its students and is constantly exploring new evidence-based ideas in mathematical education in order to provide a stimulating learning environment. There are excellent possibilities for imaginative curriculum development, including online activities, and course design and delivery. The School teaches pure and applied Mathematics, operational research and statistics. We have approximately 1000 undergraduate students, around 210 MSc students, and our Graduate School has close to 160 PhD students.
Edinburgh is home to the International Centre for Mathematical Sciences, one of the UK’s two major conference centres in the mathematical sciences and operated jointly by the University with Heriot-Watt University. Over the past 30 years the centre has established a superb reputation for hosting workshops at the highest scientific level on all mathematical topics, attracting many of the best mathematicians in the world to the UK.
The School is located in the James Clerk Maxwell Building which is situated on the King\’s Buildings campus, approximately 3 kilometres south of the city centre.
Further information about the School, our research and our teaching is available on the School of Mathematics Website ( https://www.maths.ed.ac.uk ) (Opens in new browser tab)
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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.
