Cyber Insight Analyst

Morson Talent; City Of London; Hybrid; GBP 80,000 - 100,000; Full time

Job summary

A global leader in Insurtech is seeking a Cyber Insights Analyst in London to join their Cyber Insights team. This hybrid role involves transforming various data sources into actionable insights to assist underwriting decisions. The ideal candidate will have experience in data science, strong Python and SQL skills, and an understanding of machine learning techniques. This position offers an opportunity to impact business strategies and work with innovative analytics technologies.

Benefits

Opportunity to develop career in cyber risk and data science

Work with modern data platforms

Qualifications

• Experience with large structured and unstructured datasets.
• Ability to build interactive dashboards and reporting tools.
• Excellent communication skills to explain complex analysis.

Responsibilities

• Build and maintain dashboards to monitor underwriting controls.
• Automate reporting for underwriting class and product leaders.
• Investigate underwriting performance queries and provide insights.

Skills

Python

SQL

Data analysis

Statistical modeling

Machine learning

Problem-solving

Education

Background in data science or advanced analytics

Tools

Azure Databricks

scikit-learn

PyTorch

TensorFlow

Job description

Overview

Cyber Insights Analyst

City of London (Hybrid) • Up to £55,000 + 20% Bonus

A global leader within Insurtech is 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 — from policy and claims to cyber threat intelligence and incident response — into actionable insights that strengthen 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.

Responsibilities

• 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.

Qualifications

• 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.

Benefits

• 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 at 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.