Senior Analyst (Insurance)

TL;DR

Senior Analyst (Insurance): Conducting complex data analysis on insurance products, claims, and underwriting processes with an accent on analytical modeling and risk identification. Focus on improving profitability, developing BI reports, and supporting strategic business decisions through quantitative analysis.

Location: EMEA; London

Company

Nscale is a high-performance GPU cloud provider engineered specifically to reduce the complexity of AI development for startups and large enterprises.

What you will do

• Conduct complex data analysis on insurance products, claims, and underwriting processes.
• Develop and maintain analytical models and reports to support strategic business decisions.
• Identify trends, risks, and opportunities within insurance portfolios.
• Collaborate with underwriting, claims, and operations teams to improve profitability.
• Prepare detailed reports and presentations for senior management and stakeholders.
• Support regulatory compliance and audit requirements through comprehensive analysis.

Requirements

• Several years of experience in insurance or a related analytical role.
• Bachelor's degree in Finance, Mathematics, Statistics, Actuarial Science, or a related field.
• Advanced proficiency in Excel, SQL, and BI tools such as Tableau or Power BI.
• Strong statistical and quantitative analysis capabilities.
• Solid understanding of insurance products, underwriting principles, and claims processes.
• Must be located in or able to work from London, EMEA.

Nice to have

• Actuarial designation (ASA, FSA, or equivalent) or progress toward certification.
• Experience with predictive modeling and advanced analytics.
• Programming knowledge in Python, R, or similar languages.
• Familiarity with insurance platforms and management systems.
• Project management experience.

Culture & Benefits

• Culture of relentless innovation, ownership, and accountability.
• Environment built on openness, transparency, and trust.
• Focus on environmental responsibility and rapid innovation.
• Opportunity to contribute to a high-growth AI infrastructure company.