Named in honour of Alan Turing, the Institute is a place for inspiring, exciting work and we need passionate, sharp, and innovative people who want to use their skills to contribute to our mission to make great leaps in data science and AI research to change the world for the better.
Please find more information about us here.
The 'Finance and Economics' programme (FE) brings together leading experts in data science, machine learning, finance and the social sciences, from both academia and industry to tackle the most challenging questions by producing world-leading research with significant impact. The programme works closely with government and the industry to exploit the potential of new technologies in the financial sector and economic research, and to position the UK as the leader in these areas. The programme is led by the Programme Director, Lukasz Szpruch.
One of the aims of FE is to develop an actionable framework for safe deployment of AI in Financial Services, underpinned by foundational research methodologies from across five main research themes:
Find out more: FAIR: Framework for responsible adoption of artificial intelligence in the financial services industry.
The Turing are hiring a team of Research Associates focused on tackling key challenges within the financial sector under the direction of the Turing Programme Director, and the project PIs. These Research Associates will focus on a specific challenge and work with Research Associates tackling fundamental research in each of the key research themes of FAIR, to build tools and techniques to tackle these challenges.
We are looking for a Research Associate to lead on designing methodological approaches to detecting fraud, working with our external partners and sharing expertise with researchers across the FAIR Programme. Fraud is a major challenge for financial services with some estimates stating that it costs the UK economy up to £219 billion a year. The FAIR Programme has worked with external partners such as HSBC and FCA, to develop techniques for detecting Fraudulent activity, and for improving data sharing capabilities between financial institutions which is one of the main bottlenecks to effectively combat fraud.
ROLE PURPOSE
The successful candidate will support on the theoretical and methodological development of new data science techniques for detecting financial fraud leveraging new methodologies that have emerged over the last few years. Particular emphasis will be put on leveraging complex dependencies in financial transaction data. The techniques to be developed are anticipated to draw on graph neural networks and both supervised and unsupervised learning of data which may contain network structure; they will also draw on statistical techniques such as causal inference and counterfactual analysis.
The candidate will join a vibrant team of researchers and will have opportunities to engage with cutting-edge projects and experts at leading universities. These will include Sam Cohen, Gesine Reinert and Marta Kwiatkowska (Oxford), Carsten Maple and Graham Cormode (Warwick), Adrian Weller (Cambridge), Andrew Elliott (Glasgow) Philip Treleaven (UCL) and Lukasz Szpruch (Edinburgh), as well as project teams funded by other strategic partnerships.
In addition, the successful candidate will have an opportunity to interact with key industry leads on issues related to fraud and data science within financial services.
DUTIES AND AREAS OF RESPONSIBILITY
General duties for Research Associate posts:
Specific to the project/programme/role:
·Work collaboratively with a team of research associates focused on fundamental research in each of the themes of FAIR and develop responsible AI tools and techniques through the FAIR framework.
Please see the job description for a full breakdown of the role and person specification.
APPLICATION PROCEDURE
If you are interested in this opportunity, please click the apply button below. You will need to register on the applicant portal and complete the application form including your CV and covering letter. If you have questions about the role or would like to apply using a different format, please contact us on 020 3862 3536 or email [email protected].
If you are applying for more than one role at the Turing, please note that only one Cover Letter can be visible on your profile at one time. If you wish to apply for multiple roles and do not want to overwrite your existing Cover Letter, please apply for the role using the button below and forward your additional cover letter directly to [email protected] quoting the job title.
If you are an internal applicant and wish to apply, please send your CV and Cover Letter directly to [email protected]and your application will be considered.
CLOSING DATE FOR APPLICATIONS: SUNDAY 13 OCTOBER 2024 AT 23:59 (LONDON, UK BST)
TERMS AND CONDITIONS
This full-time post is offered on a fixed term basis for 2 years. The annual salary is £44,180 - £49,966 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 £41,352 per annum.
The Alan Turing Institute is based at the British Library, in the heart of London’s Knowledge Quarter. We expect staff to come to our office at least 4 days per month. Some roles may require more days in the office; the hiring manager will be able to confirm this during the interview.
EQUALITY, DIVERSITY AND INCLUSION
The Alan Turing Institute is committed to creating an environment where diversity is valued, and everyone is treated fairly.In accordance with the Equality Act, we welcome applications from anyone who meets the specific criteria of the post regardless of age, disability, ethnicity, gender reassignment, marital or civil partnership status, pregnancy and maternity, religion or belief, sex and sexual orientation.
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.
Please note all offers of employment are subject to obtaining and retaining the right to work in the UK and satisfactory pre-employment security screening which includes a DBS Check.
Full details on the pre-employment screening process can be requested from [email protected].