Job Description
Senior Data Scientist - Cyber Risk Modelling (Python/SQL/Databricks/ PySpark/ DBRX - Bristol based office)
A pioneering reinsurance agency based in Bristol, UK, specializing in the cutting-edge domain of cyber risk. Leveraging advanced analytics and proprietary models, my client aims to redefine the landscape of cyber risk assessment and management. Our commitment to innovation and excellence has positioned us as a leader in the cyber reinsurance market.
Position Overview
A highly technical and experienced Data Scientist to join their dynamic modelling team. Reporting into our Head of Data Science & Modelling, the successful candidate will play a pivotal role in the development and operationalization of 's proprietary stochastic cyber risk model. This position offers the opportunity to contribute significantly to the advancement of our analytical capabilities and to the broader field of cyber risk modelling.
Key Responsibilities
- Model Development and Operation: Be a key member of the team responsible for the design, development, refinement, and execution of 's stochastic cyber risk model, ensuring its accuracy, performance, and scalability.
- Data Analysis: Perform complex data analysis to extract insights and identify trends in cyber risk, utilizing a variety of statistical and machine learning techniques.
- Operationalization: Translate model insights into actionable strategies and tools for internal and external stakeholders.
- Collaboration: Work closely with other team members, including underwriters, engineers, and cyber risk analysts, to integrate the cyber risk model with other systems and processes.
- Innovation: Stay abreast of the latest developments in data science, cyber security, and risk modelling, and incorporate innovative techniques and technologies into our models.
Qualifications
Senior Data Scientist - Cyber Risk Modelling (Python/SQL/Databricks/ PySpark/ DBRX - Bristol based office)
- Senior Data Scientist Experience: At least 5 years of experience working as a data scientist/quantitative risk modeller, with a proven track record of operationalizing complex models and analytics.
- Education: A degree in Computer Science, Engineering, Statistics, Mathematics, or a related field. Advanced degrees (MSc or PhD) are preferred.
Technical Skills
- Expertise in applied machine learning, probability, statistics, and quantitative risk modelling.
- High level of proficiency in Python & SQL.
- Experience with big data technologies and tools. Databricks and Pyspark are highly desirable.
- Experience of working in agile software development processes.
Industry Knowledge: Experience in insurance, cyber, or a related domain is ideal. Understanding of the reinsurance industry and its challenges is a plus.
Soft Skills: Excellent problem-solving abilities, strong communication skills, and the capacity to work effectively in a team-oriented environment.
How to Apply
Please apply by sending your CV to the following links below. Mid level Data Scientist and Data Engineer roles also available