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Senior Risk Scientist
3 months ago
Job Specification:
Senior Risk Scientist
Location:
Bristol, UK
Company:
Envelop Risk Analytics
About Envelop Risk Analytics
Envelop Risk Analytics is a leading cyber reinsurer specializing in innovative solutions to manage and mitigate cyber risks. We leverage cutting-edge technology and data analytics to develop proprietary models that drive our business forward.
Role Overview
We are seeking an experienced and highly skilled Senior Risk Scientist to join our dynamic Envelop Labs team in Bristol.
This role is pivotal to the ongoing development of our proprietary cyber risk model, Cybertooth.The ideal candidate will have a strong background in large-scale stochastic model development and high-performance scientific computing, with deep expertise in statistical modelling and probability.
Key Responsibilities- A key contributor to the development and enhancement of the Cybertooth system, our proprietary cyber risk estimation system, ensuring its robustness and performance in assessing cyber risks.
- Collaborate with crossfunctional teams to integrate new data sources and methodologies into Cybertooth.
- Conduct advanced statistical analyses, industry and threat analysis, and reporting to support cyber risk assessment.
- Optimize computational performance and scalability of the Cybertooth simulation.
- Provide technical leadership and mentorship to junior team members.
- Stay abreast of the latest developments in cyber risk measurement & estimation, data science, and highperformance computing to continuously improve our system's capabilities.
- At least 5 years of experience in a related field, such as risk/catastrophe modelling, actuarial science, quantitative finance, data science, or a similar discipline involving large scale simulation of correlated events and extreme scenarios.
- Demonstrated experience in largescale stochastic model development and highperformance scientific computing.
- Real world commercial expertise in statistical modelling and probability.
- Proficiency in programming languages and tools commonly used in scientific computing and data analysis, including scientific Python, Spark, CUDA, and SQL. Experience with Databricks is desirable. Expert level in scientific python essential.
- Strong problemsolving skills and the ability to work independently and collaboratively.
- Excellent communication skills, with the ability to present complex technical information to a nontechnical audience.
- Experience in cyber insurance or cyber security are not essential but would be beneficial.
- A degree in a STEM field or equivalent industrial experience.
Competitive salary and benefits package
Including:
-o 5% pension.
o 28 days holiday + bank holidays.
o Private medical insurance.
o Death in service benefit.
- Opportunity to work with cuttingedge technology and innovative solutions in the cyber reinsurance industry.
- Collaborative and inclusive work environment.
- Career growth and development opportunities.
