Jobs

Research Associate


Job details
  • Verisk
  • London
  • 3 weeks ago

Job Description

Verisk is looking for a highly passionate, motivated individual to join the Extreme Event Solutions Research team in London as a Research Associate. As a member of the Research team, you will promote research efforts of our international team through the interpretation and continuing improvements of our models and products. Verisk’s catastrophe models include earthquake and hydro-meteorological models ( tropical cyclone, hail, flood) which account for climate change that has already happened and in cases, estimations of future climate change impact.

You will use your scientific, technical and analytical skills to work with clients, research organisations and universities to enhance their awareness, understanding and information exchange with Verisk. You will foster relationships with the Research teams in Boston and work closely with Consulting and Client Services and Business Development departments in London.

Responsibilities

Thorough understanding, interpretation and explanation of Verisk’s models to clients, prospects and academia. Helping clients reliably assess and manage their catastrophe loss potential through interpretation of modelling results and after model updates. Contribute to the development and internal evaluation of Verisk models and support clients in model evaluations and regulatory requirements for a major model change.  Creating and giving presentations to clients and research organisations, for example on existing models and model change, as well as writing technical documentation. Working on innovative projects requiring own research. This may be for internal R&D purposes or for external consultancy projects within the insurance sector. The development of tools and models to solve problems on bespoke basis directly for clients and as part of Verisk’s wider model development. Representing Verisk at industry and academic conferences, presenting Verisk models and original research in oral and poster sessions Following latest industry trends, research in your area of expertise and the potential for participation in post-disaster field surveys. Collecting, interpreting and analysing scientific and engineering information.

Qualifications

QUALIFICATIONS

Very strong analytical and quantitative skills, a solid understanding of probability concepts, excellent problem-solving skills and a commitment to a client facing role. Excellent communication, interpersonal, time management and organisational skills are required. Proficiency in oral and written communication is highly desirable, particularly the ability to communicate complex ideas simply and effectively. The ability to motivate and inspire research-based discussions amongst colleagues is desirable. Experience using Microsoft Office is essential. Ability to code in languages such as SQL, R, Python will be beneficial. Knowledge of ArcGIS would be desirable. Prior experience in the visualisation and communication of risk via animations, video, infographics or other means would be desirable but not essential. Knowledge of Touchstone and Touchstone Re is desirable but not essential. Knowledge of insurance and reinsurance and the Lloyd’s market is desirable but not essential. An interest in working with big data and machine learning algorithms is welcomed.

Education Requirements

You will have a PhD or MSc in applied natural science or engineering, which might include one of the following preferred disciplines: Meteorology, Atmospheric Physics, Climate Science, Earth Sciences, Geophysics, Applied Mathematics, Structural Engineering (relating to natural hazards). For those educated to a MSc level, additional years of research experience may be required.

Sign up for our newsletter

The latest news, articles, and resources, sent to your inbox weekly.

Similar Jobs

Research Associate in Formalising Neuro-Symbolic AI

Autonomy and Verification Group - Department of Computer ScienceThis position is to carry out research within the Autonomy and Verification Group on formalising and analysing Neuro-Symbolic AI. Although Neural AI approaches (machine learning, neural networks, etc) can be fast and flexible, they tend to be opaque and prone to uncertainty...

The University of Manchester Manchester

Research Associate in Computational Supramolecular Materials Discovery

A Research Associate position in Computational Supramolecular Materials Discovery is available within the group of Prof. Kim Jelfs () at the Department of Chemistry, Imperial College London. You will work on the application of computational chemistry and artificial intelligence techniques for the discovery of new functional supramolecular materials built from...

Imperial College London London

Research Associate in mmWave RF Sensing and Machine Learning

We are seeking to hire a Research Associate (Post-Doc) to join the EPSRC funded IntentMAPS: Anticipating Intent facilitated by Multi-scale Adaptive Passive RF Sensing Project. This project aims to carry out Human Activity monitoring at scale in complex environments.This project aims to combine mmWave RF Sensing, enhanced using Reconfigurable Intelligent...

Imperial College London London

Research Associate*/Research Assistant in Sustainable Computational Science (Fixed Term)

Research Associate*: £36,924 - £45,163/Research Assistant: £32,296 - £34,866An exciting opportunity has arisen for a talented researcher to join our team as part of the Green Algorithms Initiative in the Department of Public Health and Primary Care, one of Europe's leading academic departments of population health sciences. The post will...

University of Cambridge Cambridge

Research Associate Knowledge Exchange and Impact

 Salary:  £34,866 to £45,163  per annum Newcastle University is a great place to work, with excellentbenefits. We have a generous holiday package; plus the opportunity to buy more, great pension schemes and a number of health and wellbeing initiatives to support you. Closing Date: 26 November 2024 The Role The...

Newcastle University Newcastle upon Tyne

Research Associate in the Sensorimotor Augmentation for Human-Robot Collaboration

We are looking for a full-time post-doctoral research associate to investigate human-robot collaboration to explore unstructured environments for inspection, repair, and maintenance. You will conduct research on designing artificial feedback to humans, whether they are remotely operating a robot or collaborating closely with one in a proximal setting. The robot’s...

The University of Manchester Whitehaven