Postdoctoral Research Associate (Lloyd's of London Insurance Market)

Closing date: 29 October 2023

Salary: Grade 6, step 31 (£42,405)  to step 32 (£43,547) per annum, including London Weighting Allowance

Building and Campus: Bush House, Centre Block, Strand Campus

Job description

The department of Informatics is looking to appoint a Postdoctoral Researcher to work on a project on modelling the Lloyd's of London insurance market funded by the Accenture Turing strategic partnership. 

The project will be led by Carmine Ventre, https://www.kcl.ac.uk/people/carmine-ventre, and will run for one year starting from the 1^st of January 2024. The project will explore our ability to simulate, experiment with, and therefore understand the dynamics of the Lloyd’s insurance markets, forecast future market environments, and ultimately help better decision making of market participants. The focus will be on modelling and accounting for their incentives by adopting game-theoretic techniques. The use of machine learning techniques to improve the scalability of the simulator and the adaptivity of the strategies adopted by market players could also be investigated. 

The post holder will benefit from a close collaboration with leading industrial partners within the Lloyd’s ecosystem and will be based in the Department of Informatics in the Faculty of Natural, Mathematical & Engineering Sciences of King’s College London. 

This post will be offered on a fixed-term contract for 12 months with a potential start date from the 1st January 2024.

This is a full-time post

Key responsibilities

• Study and model the dynamics of Lloyd’s specialty insurance markets
• Engage with the external partners and stakeholders
• Develop a simulator for the Lloyd’s specialty insurance markets, adopting advanced symbolic and non-symbolic AI techniques
• Write and present research findings

The above list of responsibilities may not be exhaustive, and the post holder will be required to undertake such tasks and responsibilities as may reasonably be expected within the scope and grading of the post.

Skills, knowledge, and experience

A strong research background, as evidenced by publications, in Computer Science or a related area

• Good writing and presentational skills
• Good software engineering skills

Essential criteria

1. A completed PhD in Computer Science or a close discipline (suitable candidates who are nearing completion of PhD will be appointed at the top of band 5 and will automatically progress to band 6 point 31 when the PhD certificate is obtained)
2. A strong research background, as evidenced by publications, in Computer Science or a related area
3. Good writing and presentational skills
4. Good software engineering skills
5. Excellent interpersonal and communication skills.
6. Ability to work independently, and organise own workload.

Desirable criteria

1. A strong research background covering relevant topics in Computational Finance, Algorithmic Game Theory, or Machine Learning
2. Knowledge of relevant topics in AI, such as Empirical Game-Theoretic Analysis and Synthetic data generation

Advert information