Risk Engineer Catastrophe Modelling
Job Opportunity: Risk Engineer in Catastrophe Modelling
Location: Central Bristol, UK (Hybrid working)
Contract Type: Permanent
Are you passionate about mitigating cyber risks and excited about the innovative world of catastrophe modelling? Our client, a leading organisation in the cyber reinsurance sector, is on the lookout for a talented Risk Engineer specialising in Catastrophe Modelling to join their dynamic modelling team in Bristol.
Why Join Us?
- Cutting-edge Technology: Work with state-of-the-art tools and technologies that drive the future of cyber risk analytics.
- Career Development: Enjoy opportunities for growth in a collaborative and inclusive environment.
- Great Benefits: Competitive salary, 5% pension, 28 days holiday plus bank holidays, private medical insurance, and a death-in-service benefit.
Role Overview:
As a Risk Engineer, you'll report directly to the Lead Catastrophe Modeller, playing a critical role in developing and operationalizing proprietary stochastic cyber risk models. This is a fantastic opportunity to enhance our analytical capabilities and contribute to the exciting field of cyber catastrophe modelling.
Key Responsibilities:
- Model Development: Contribute to model testing, diagnostics, and release workflows by creating best-practise ML and testing frameworks.
- Cross-functional Collaboration: Work with diverse teams to integrate new data sources and methodologies into our proprietary cyber risk estimation system, Cybertooth.
- Research Contribution: Engage in ongoing research within cyber catastrophe modelling, providing robust frameworks to evaluate new hypotheses against established baselines.
- Stay Updated: Keep abreast of the latest developments in cyber risk measurement, data science, and high-performance computing to enhance our capabilities.
- Visualisation: Bring models to life with innovative visualisations that improve model explainability and effectively communicate value to stakeholders.
Qualifications:
- Experience: Minimum of 5 years in a related field such as risk/catastrophe modelling, actuarial science, quantitative finance, or data science.
- Statistical Modelling Expertise: Real-world commercial experience in statistical modelling and probability.
- Programming Skills: Proficiency in scientific Python (essential), Spark, CUDA, and SQL. Familiarity with Databricks is a plus!
- Problem Solver: Strong analytical skills with the ability to work independently and collaboratively.
- Communication Skills: Ability to present complex technical information to non-technical audiences.
- Educational Background: Degree in a STEM field or equivalent industrial experience. Experience in cyber insurance or cyber security is beneficial but not essential.
Location Details:
Conveniently located just a 15-minute walk from Princes Wharf train station, our Bristol office is accessible and vibrant, perfect for professionals looking to thrive in a forward-thinking environment.
If you are ready to take on this exciting challenge and contribute to the future of cyber risk management, we want to hear from you! Apply now to join our innovative team and help shape the landscape of catastrophe modelling in the cyber domain.
How to apply
Please apply by sending your CV to (url removed)
Join us in making a difference!
Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
- Company
- Adecco
- Location
- South West, United Kingdom
Hybrid / WFH Options - Employment Type
- Permanent
- Salary
- £70000 - £95000/annum pension, healthcare, life cover
- Posted
- Company
- Adecco
- Location
- South West, United Kingdom
Hybrid / WFH Options - Employment Type
- Permanent
- Salary
- £70000 - £95000/annum pension, healthcare, life cover
- Posted