
Cyber Insight Analyst
- London
- Permanent
- Full-time
- Build & maintain dashboards and MI to monitor underwriting controls and support audits.
- Automate and own reporting for underwriting class and product leaders
- Investigate queries relating to underwriting management and performance
- Understand challenges for business stakeholders and to structure advanced analytical solutions by
- Design, development, and validate predictive models to inform our underwriting
- Collaborate with internal data engineering teams on the design, development and maintenance of Azure Databricks pipelines
- Contribute to the strategic development of our data strategy
- Help identify data issues, specifying fixes, improvements and checks.
- Support our proactive services team in the automation of data driven deliverables
- Collaborate with our internal data and operations team to ensure we adhere to group governance and practices
- Partner with underwriters and actuaries to embed insights into decision-making and strategy
- Present findings and actionable insights to technical and non-technical stakeholders through dashboards, visual presentations, or management reports.
- Keep abreast of emerging tools, techniques, and best practices in machine learning, AI, and insurance analytics
- Experience in data science role or advanced analytics.
- Ability to design and develop interactive dashboards and reporting tools
- Excellent communication skills, with the ability to explain technical concepts and insights to non-technical stakeholders.
- Understanding of and experience with data engineering and modelling, ETL processes, and building/maintaining data pipelines
- Strong problem-solving skills with a proactive and inquisitive mindset.
- Strong Python and SQL experience and skills, comfortable handling large data sets of structured and unstructured data
- Experience in statistical modeling and machine learning techniques and familiarity with modern machine learning/AI libraries (e.g., scikit-learn, PyTorch, TensorFlow).
- Strong communication skills to translate analytics into business insight.
- Ideally you will have experience or a strong interest in cyber risk and be aware of current and emerging trends.
- Previous exposure to (re)insurance or financial risk data, including underwriting, claims, or exposure management would be an advantage.