Regional FP&A Analyst - General Insurance

About the role

A Regional FP&A Analyst is sought to support financial planning, performance management and decision support across a regional general insurance portfolio. The role partners with Finance and business stakeholders to deliver timely, insightful analysis, strengthen forecasting disciplines and help drive profitable growth and expense efficiency. The position is based in Central Singapore.

Key responsibilities

• Lead regional budgeting, forecasting and rolling outlook processes, including variance analysis and management commentary.
• Develop and maintain financial models for premium, claims, commissions, expenses and profitability by product, channel and market.
• Provide performance reporting packs with clear narrative, KPIs and actionable insights for senior stakeholders.
• Partner with actuarial, underwriting, claims and distribution teams on loss ratio, combined ratio and expense ratio drivers.
• Support annual business planning, capital and reinsurance cost analysis, and scenario and sensitivity modelling.
• Improve reporting automation and data integrity with Finance systems and data teams, and support month-end close activities.
• Support regional projects such as portfolio optimisation, cost transformation and business case evaluation.

Required profile

• Bachelor's degree in Finance, Accounting, Economics or a related discipline.
• 3-6 years' experience in FP&A, commercial finance or financial performance roles; insurance experience strongly preferred.
• Strong understanding of general insurance metrics such as GWP, NWP, loss ratio, combined ratio and reserving impacts.
• Professional qualification (ACCA, CIMA, CPA or equivalent) is an advantage.
• Excellent stakeholder management, attention to detail, strong controls mindset and English communication skills.

Required skills

• Advanced Excel (modelling, Power Query, pivots).
• Power BI or similar visualisation tools desirable.
• Planning tools/ERPs such as SAP, Anaplan or Oracle, and handling large datasets.