Research Associate

Verisk; London; On-site; GBP 40,000 - 80,000; Full time

Job summary

An established industry player is seeking a Research Associate to join their Extreme Event Solutions Research team in London. This exciting role involves promoting research efforts through the interpretation and improvement of catastrophe models, including those for earthquakes and hydro-meteorological events. You will leverage your scientific and analytical skills to collaborate with clients, research organizations, and universities, enhancing their understanding of complex models. With a commitment to innovation, the company fosters a culture of inclusivity and diversity, offering a supportive environment for career growth and development. If you're passionate about making a difference in the field of data analytics and risk assessment, this opportunity is perfect for you.

Benefits

Work Flexibility

Coaching and Training

Outstanding Workplace Culture

Diversity and Inclusion Initiatives

Qualifications

• Strong analytical and quantitative skills with a solid understanding of probability concepts.
• Excellent communication and interpersonal skills are essential.

Responsibilities

• Interpret and explain Verisk’s models to clients and academia.
• Contribute to the development and evaluation of Verisk models.

Skills

Analytical Skills

Problem-Solving Skills

Communication Skills

Interpersonal Skills

Time Management

Organizational Skills

Client-facing Role

Research Skills

Education

PhD in Applied Natural Science or Engineering

MSc in Applied Natural Science or Engineering

Tools

Microsoft Office

SQL

R

Python

ArcGIS

Touchstone

Touchstone Re

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 (e.g. 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

• 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 e.g. 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.

About Us

For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster.

At Verisk, you'll have the chance to use your voice and build a rewarding career that's as unique as you are, with work flexibility and the support, coaching, and training you need to succeed.

For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work for outstanding workplace culture in the US, fourth consecutive year in the UK, Spain, and India, and second consecutive year in Poland. We value learning, caring and results and make inclusivity and diversity a top priority.

Job Info

• Job Identification 315
• Job Category Data Science and Business Intelligence