Data Actuary

• Collect, clean, validate, and analyze large datasets to support pricing, reserving, and risk analysis functions.
• Design and maintain actuarial models and tools for various lines of business.
• Develop dashboards and automated reporting to monitor key actuarial metrics.
• Support experience studies, assumptions development, and forecast modeling.

• Evaluate existing actuarial workflows to identify bottlenecks and inefficiencies.
• Design and implement process automation using tools such as Excel VBA, Python, SQL, R, or actuarial software
• Collaborate with IT, data engineering, and operations teams to enhance data infrastructure and improve data accessibility.
• Create and maintain documentation for workflows, procedures, and best practices.

• Work with product, finance, underwriting, and compliance teams to provide actuarial insight and support cross-department initiatives.
• Communicate technical concepts and findings clearly to both technical and non-technical stakeholders.

• Bachelor’s degree in Actuarial Science, Mathematics, Statistics, Data Science, or related field.
• Progress toward actuarial credentials (ASA/FSA or equivalent); designation preferred.
• 5+ years of actuarial experience, ideally with exposure to data analytics or operations.
• Strong technical skills: Excel, SQL, and at least one programming language (Python, R, VBA, etc.).
• Experience with actuarial software and data visualization tools (Power BI, Tableau) is a plus.
• Proven ability to optimize and automate workflows or reporting processes.
• Strong communication and problem-solving skills.

• Be part of a forward-thinking actuarial team that values innovation and efficiency.
• Work on impactful projects that improve both data quality and operational effectiveness.
• Access professional development opportunities, actuarial exam support, and a collaborative team culture.

LMA Recruitment