Senior Risk Scientist - Hybrid/Bristol - Up to £90k

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 premier 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. Responsibilities: Develop and enhance Cybertooth, our proprietary cyber risk estimation system, ensuring its robustness and effectiveness in cyber risk assessment. Collaborate with cross-functional teams to incorporate new data sources and methodologies into Cybertooth. Conduct advanced statistical analyses, industry and threat analysis, and reporting to support cyber risk evaluation. ?? Optimise the computational performance and scalability of Cybertooth simulations. Provide technical leadership and mentorship to junior team members. ???? 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: Minimum of 5 years of experience in a relevant field, such as risk/catastrophe modelling, actuarial science, quantitative finance, or data science. ?? Proven experience in large-scale stochastic model development and high-performance 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, such as Python, Spark, CUDA, and SQL. Experience with Databricks is desirable. Expert level in scientific Python is essential. Strong problem-solving skills and the ability to work independently and collaboratively. Excellent communication skills, with the ability to present complex technical information to a non-technical audience. Experience in cyber insurance or cyber security is advantageous but not essential. ?? A degree in a STEM field or equivalent industrial experience. Why Work With Our Client? Competitive salary and benefits package, including a 5% pension contribution and private medical insurance. ?????? 28 days of holiday plus bank holidays. Opportunity to work with cutting-edge technology and innovative solutions in the cyber reinsurance industry. A collaborative and inclusive work environment. Opportunities for career growth and development. Join our team at Our Client and be part of revolutionising the cyber risk industry! Apply now and unleash your passion for risk science and data analytics. ???? Please note that due to the high volume of applications, only shortlisted candidates will be contacted. KEYWORDS: Python / Spark / CUDA / Databricks / Data bricks / Google Cloud Platform / GCP / SQL / PostgreSQL / Pandas / SQLAlchemy / Apache Airflow / DataBricks / Data Bricks / Snowflake / BigTable / Redis / Risk Science / Risk Management / Risk Scientist / Python / Spark / CUDA / Databricks / Data bricks / Google Cloud Platform / GCP / SQL / PostgreSQL / Pandas / SQLAlchemy / Apache Airflow / DataBricks / Data Bricks / Snowflake / BigTable / Redis / Risk Science / Risk Management / Risk Scientist / Python / Spark / CUDA / Databricks / Data bricks / Google Cloud Platform / GCP / SQL / PostgreSQL / Pandas / SQLAlchemy / Apache Airflow / DataBricks / Data Bricks / Snowflake / BigTable / Redis / Risk Science / Risk Management / Risk Scientist / Python / Spark / CUDA / Databricks / Data bricks / Google Cloud Platform / GCP / SQL / PostgreSQL / Pandas / SQLAlchemy / Apache Airflow / DataBricks / Data Bricks / Snowflake / BigTable / Redis / Risk Science / Risk Management / Risk Scientist / Python / Spark / CUDA / Databricks / Data bricks / Google Cloud Platform / GCP / SQL / PostgreSQL / Pandas / SQLAlchemy / Apache Airflow / DataBricks / Data Bricks / Snowflake / BigTable / Redis / Risk Science / Risk Management / Risk Scientist