Senior Risk Analyst

1 month ago


Bristol, Bristol, United Kingdom CV Library Full time
Senior Risk Scientist - Hybrid/Bristol

Job Title: Senior Risk Scientist

Location: Bristol, UK

Remuneration: £70,000 - £90,000 per year

Contract Details: Permanent, Full-Time

About Our Client:

Our Client is a leading cyber reinsurer dedicated to developing innovative strategies for managing and mitigating cyber risks. By harnessing advanced technology and data analytics, they create proprietary models that propel their business.

Role Overview:

We are seeking an experienced and highly skilled Senior Risk Scientist to join our dynamic team in Bristol. As a key member of our team, you will play a vital role in the continuous advancement of our proprietary cyber risk model, Cybertooth. We require someone with a robust background in developing large-scale stochastic models and high-performance scientific computing, along with extensive expertise in statistical modelling and probability.

  1. Develop and enhance Cybertooth, our proprietary cyber risk estimation system, ensuring its robustness and effectiveness in cyber risk assessment.
  2. Collaborate with cross-functional teams to incorporate new data sources and methodologies into Cybertooth.
  3. Conduct advanced statistical analyses, industry and threat analysis, and reporting to support cyber risk evaluation.
  4. Optimise the computational performance and scalability of Cybertooth simulations.
  5. Stay updated with the latest advancements in cyber risk measurement and estimation, data science, and high-performance computing to continuously enhance our system's capabilities.

Qualifications:

  1. Minimum of 5 years of experience in a relevant field, such as risk/catastrophe modelling, actuarial science, quantitative finance, or data science.
  2. Proven experience in large-scale stochastic model development and high-performance scientific computing.
  3. Real-world commercial expertise in statistical modelling and probability.
  4. Proficiency in programming and tools commonly used in scientific computing and data analysis, such as Python, Spark, CUDA, and SQL. Expert level in scientific Python is essential.
  5. A degree in a STEM field or equivalent industrial experience.

What We Offer:

  1. Competitive salary and benefits package, including a 5% pension contribution and private medical insurance.
  2. 28 days of holiday plus bank holidays.
  3. Opportunities for career growth and development.

Be part of revolutionising the cyber risk industry and apply now to unleash your passion for risk science and data analytics.


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