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Cyber Insight Analyst

Lime Street
3 weeks ago
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Cyber Insights Analyst
City of London (Hybrid)
Up to £55,000 + 20% Bonus

Are you passionate about using data to solve complex problems and deliver real business impact? A global leader within Insurtech are looking for a Cyber Insights Analyst to join their global Cyber Insights & Analytics team.

This is a hands-on role where you’ll transform diverse data sources. Ranging from policy and claims to cyber threat intelligence and incident response, into actionable insights that strengthen our underwriting decisions and frameworks. With their data strategy making strong progress, this is an exciting opportunity for someone with a few years’ experience in analytics or data science to take the next step in their career.

What you’ll do

• Build and maintain dashboards and MI to monitor underwriting controls and support audits.
• Automate and manage reporting for underwriting class and product leaders.
• Investigate underwriting performance queries and provide actionable insights.
• Design, develop, and validate predictive models to inform underwriting decisions.
• Work with data engineering teams to design and maintain Azure Databricks pipelines.
• Support the automation of data-driven deliverables for proactive services.
• Identify and resolve data issues, recommending fixes and improvements.
• Collaborate with underwriters, actuaries, and operations teams to embed insights into strategy and decision-making.
• Present findings through clear dashboards, presentations, and reports tailored to both technical and non-technical audiences.
• Stay ahead of emerging tools, techniques, and best practices in data, ML, and AI.
What we’re looking for
• A background in data science or advanced analytics (insurance/financial risk exposure is a plus).
• Strong Python and SQL skills, with experience working with large structured and unstructured datasets.
• Experience building interactive dashboards and reporting tools.
• Familiarity with data engineering, ETL processes, and data pipelines.
• Experience with statistical modelling and machine learning techniques, and libraries such as scikit-learn, PyTorch, or TensorFlow.
• Excellent communication skills—able to explain complex analysis to non-technical stakeholders.
• Proactive, inquisitive mindset with strong problem-solving skills.
• Interest in cyber risk and awareness of emerging trends in the space.

Why join?

• Be part of a growing global team driving innovation in cyber analytics.
• Work with modern data platforms and cutting-edge analytics techniques.
• Make a tangible impact on underwriting performance and business strategy.
• Opportunity to develop your career in the intersection of cyber risk, data science, and insurance analytics.

If you’re curious, driven, and eager to make your mark in a high-impact role, we’d love to hear from you.

Apply now and help shape the future of cyber risk analytics

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