Risk Scientist – 29283

The Emerald Group; Greater London; On-site; GBP 60,000 - 90,000; Full time

Job summary

The Emerald Group is seeking a motivated, highly technical specialist to join its Catastrophe Research team in London. This permanent role focuses on applied catastrophe science within the insurance industry, combining advanced atmospheric sciences with data-driven risk assessment.

You will conduct deep-dive model evaluations, stay current with research and technologies, and communicate findings to diverse audiences, including clients and investors.

Qualifications

• Strong academic record with degree level (2:1 or higher) and a PhD focus in risk sciences such as meteorology, climatology, seismology or hydrology.
• Hands-on experience applying ML/AI techniques to real-world problems.
• Proficiency in Python, R and SQL for data analysis.

Responsibilities

• Perform model evaluation deep dives for areas of high peril materiality and abridged evaluations for lower materiality regions.
• Keep abreast of latest research and technologies to inform risk-based business views.
• Prepare model evaluation materials for company reporting and present results to clients, brokers, senior management and investors.
• Represent the company at national and international scientific and industry forums.

Skills

Python

R

SQL

Machine Learning

AI

Education

Bachelor’s degree (2:1+)

PhD

Job description

Our client is seeking a motivated and strongly technical specialist to join their Catastrophe Research team. Their team is a small, specialised group of applied researchers with advanced expertise and domain knowledge in atmospheric sciences, hydrology and seismology. Joining their team means working at the forefront of catastrophe science, shaping how research is applied in the insurance industry.

• Location: London
• Type: Permanent

Key Responsibilities (including but not limited to):

• Performing and documenting model evaluation deep dives for areas of high peril materiality and abridged model evaluations for lower materiality regions
• Keeping abreast of the latest scientific research and emerging technologies to inform novel approaches to developing business view of risk
• Assisting the provision of relevant model evaluation materials for company reporting
• Presenting results regularly to a wide range of audiences including clients, brokers, senior management and investors
• Representing company at national and international scientific and industry forums
• A strong academic record, to degree level (2:1 or Higher or equivalent) and a higher degree (PhD) including a period of specific research with a focus in a risk sciences area such as meteorology, climatology, seismology, or hydrology
• Strong proficiency in programming languages for data analysis (e.g. Python, R, SQL) with a strong preference for candidates who have hands-on experience applying machine learning or Al techniques to real-world problems
• The ability to and interest in working collaboratively across different teams
• Comfort in presenting both internally to senior management and investors and externally to clients or at industry or academic conferences
• It would also be beneficial if you have a strong interest or knowledge of the key principles of commercial catastrophe models, climate models and the data and formats used in climate modelling