Risk Scientist

Emerald Group Ltd; Greater London; On-site; GBP 45,000 - 65,000; Full time

Job summary

A leading risk management firm in the UK seeks a candidate with a PhD in a risk sciences area to perform model evaluations and present findings to various audiences. The ideal candidate is proficient in Python, R, and SQL, with experience in machine learning techniques. They should have strong collaboration and presentation skills, as well as a keen interest in commercial catastrophe models and climate modeling data. This role offers an engaging opportunity to inform risk strategies with emerging technologies.

Qualifications

• A strong academic record with a focus in some area of risk sciences.
• Hands-on experience applying data analysis programming languages.
• Interest in commercial catastrophe models and climate models.

Responsibilities

• Perform model evaluation deep dives and evaluations.
• Stay updated on scientific research and emerging technologies.
• Provide materials for company reporting.
• Present results to clients, brokers, management, and investors.
• Represent the company at industry forums.

Skills

Python

R

SQL

Machine learning

Collaborative teamwork

Presentation skills

Climate modelling knowledge

Education

PhD in risk sciences (meteorology, climatology, seismology, hydrology)

Degree level (2:1 or higher)

Job description

Overview

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

Qualifications required :

• 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

Experience required :

• 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