The FAIR Programme, is an academic industrial collaboration which aims to develop an actionable framework for trustworthy and reliable AI adoption at scale within Financial Services industry. We are aiming to do this by tackling three key challenges:
- Development of robust AI assurance frameworks
- The advancement of AI-powered financial crime detection
- Design and Development of Trustworthy Agentic Workflows
Find out more: FAIR: Framework for responsible adoption of artificial intelligence in the financial services industry.
ROLE PURPOSE
The successful candidate will play a central role in advancing the FAIR programme’s mission to become the trusted authority on AI innovation within the financial services sector. The role holder will conduct cutting-edge research, develop and evaluate models, collaborate with a world-class team and contribute to real-world impact.
The role holder will join a vibrant research community of over 20 researchers from top UK universities, collaborating with experts such as: Sam Cohen, Gesine Reinert, and Marta Kwiatkowska (Oxford), Carsten Maple and Graham Cormode (Warwick), Adrian Weller (Cambridge), Philip Treleaven, Ni Hao (UCL), Lukasz Szpruch (Edinburgh).
HOW YOU WILL MAKE AN IMPACT
- Scope, pilot and deliver high quality research activity under the Direction of the Principal Investigator and Co-Investigators.
- Drive collaboration with academic experts and industrial research partners from across the Turing and the wider Turing community
- Publish and disseminate high-quality research papers and publications detailing research output and project case-studies.
- Work with industrial partners to design and test technical solutions to key challenges in AI governance, and operationalisation.
- Present, disseminate and explain technical topics to colleagues, external partners, and broader community.
- Continuously update your knowledge concerning AI in Financial Services, including staying up to date with the news, emerging policy, and regulation.
- Develop documentation and manuscripts explaining research outputs for commercial partners and test outputs on use cases provided by partners.
ABOUT YOU
- A solid background in one or more of the following: (multiagent) reinforcement learning, bandit methods, anomaly detection, privacy, robustness, uncertainty quantification, quantitative finance.
- Understanding of the technical challenges facing financial services in the operationalisation of AI, including generative AI.
- Experience in design, development and implementation of research software tools and libraries, such as Python, Java, GPU programming (Tensorflow, PyTorch, etc), symbolic verification (SAT, SMT)
- Track record of the ability to initiate, develop and deliver high quality research aligned with the research strategy indicated by the PI and any industrial stakeholders and to publish in peer reviewed journals and conferences.
- Track record of outstanding research and in delivering impact appropriate to career stage
- Experience in publishing research papers, reports for industry and the general public, code libraries or technical reports and giving presentations or classes on technical subjects for non-technical audiences.
- Ability to rapidly assimilate new computational, mathematical and statistical ideas and techniques on the job and apply them successfully.
If you are interested in this opportunity, please see the full job description. You will need to register on the candidate portal and complete the application form including your CV and cover letter.
TERMS AND CONDITIONS
This full-time post requires an immediate start and is offered on a 12 month fixed-term basis. The successful candidate must be in post by June 2026. The annual salary is £45,505 - £51,465 (depending on experience) plus excellent benefits, including flexible working and family friendly policies, https://www.turing.ac.uk/work-turing/why-work-turing/employee-benefits
Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant at a salary of £42,593 per annum.
EQUALITY, DIVERSITY AND INCLUSION
We value diversity of background, experience, and perspective, and are proud to be an inclusive employer. We warmly encourage applications from all backgrounds, particularly from groups currently under-represented in our sector. If you feel passionate about this role but don’t meet every single requirement, please apply – we recognise that great candidates may bring strengths beyond the criteria listed.
We are committed to making sure our recruitment process is accessible and inclusive. This includes making reasonable adjustments for candidates who have a disability or long-term condition. Please contact us at [email protected] to find out how we can assist you.