Senior Analyst - Risk Analytics

You’ve got a degree in Mathematics, Statistics, Engineering, or a similar field.

You’re comfortable working with data and have experience with tools like SQL and Excel (preferred but not essential).

You’re analytical, organised, and a great communicator.

You’re curious, eager to learn, and ready to make a difference.

Join us and be part of a team that’s shaping the future of risk management.

Review and clean data from Statements of Value (SOVs) to ensure accuracy.

Extract and interpret financial details from binders and update models accordingly.

Create input files, geocode data, and prepare it for modeling.

Use catastrophe modeling tools (e.g., RMS) to simulate the impact of natural disasters on client portfolios.

Adjust models to reflect unique risk characteristics and client-specific needs.

Analyse model outputs to identify potential losses, probabilities, and risk-adjusted returns.

Conduct sensitivity analyses to understand how different factors influence outcomes.

Work closely with teams in India and the US to deliver insights on client risk profiles.

Provide clear explanations of model behavior, assumptions, and results to stakeholders.

Support the Gallagher Re Catastrophe Analytics community as needed.

Integrate and manage large datasets, including policyholder information, geographical data, and historical event data.

Ensure data quality, consistency, and accuracy in all modeling processes.

Create detailed reports and presentations on model assumptions, methodologies, and findings.

Share actionable insights with senior management, brokers, and clients.

Stay updated on industry trends, new methodologies, and emerging risks.

Contribute to the development of internal tools and processes.

Identify opportunities to improve modeling techniques and workflows.

This role is perfect for someone who enjoys working with data, solving complex problems, and collaborating with global teams to make a real impact.