Cyber Insight Analyst
New Yesterday
The Role
We’re looking for a Cyber Insights Analyst to join our global Cyber Insights & Analytics team. This is a hands-on role where you’ll turn complex data into actionable insights that improve underwriting decisions and strengthen our underwriting framework. You’ll work across policy, claims, submission, cyber threat intelligence, and incident response data, using modern data platforms and analytics techniques to deliver real impact. Over the last couple of years we have been making real strides developing our data strategy and are now looking for someone to support us in reaching the next level. This is an exciting role for someone with a few years of experience to take the step in their career.
Key Responsibilities
- 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.
ABOUT US
We offer all employees a comprehensive benefits package that focuses on their whole wellbeing. This includes hybrid working, a competitive base salary, non-contributory pension, discretionary bonus, insurances including health (family) and dental cover, and many other benefits to enhance financial, physical, social and psychological health.
About Canopius
Canopius is a global specialty lines (re)insurer. We are one of the leading insurers in the Lloyd’s of London insurance market with offices in the UK, US, Singapore, Australia and Bermuda.
At Canopius we foster a distinctive, positive culture which enables us to bring our whole selves to work to flourish as people, and build a business which delivers profitable, sustainable results.
Based in incredible new offices in the heart of the City of London, Canopius operates a flexible, hybrid working model and is committed to providing an environment that challenges employees to be their best and where everyone's unique contributions are recognised, valued and respected.
We are fully committed to equal employment opportunities for all applicants and providing employees with a work environment free of discrimination and harassment. All employment decisions are made regardless of age, sex, gender identity, ethnicity, disability, sexual orientation, socio-economic background, religion or beliefs, marital or caring status, or any other status protected by the laws or regulations in the locations where we operate. We encourage and welcome applicants from all diverse backgrounds.
We make reasonable adjustments throughout the recruitment process and during employment. Please let us know if you require any information in an alternate format or any other reasonable adjustments. #J-18808-Ljbffr
- Location:
- London, England, United Kingdom
- Salary:
- £100,000 - £125,000
- Job Type:
- FullTime
- Category:
- IT & Technology