MANAGER, INSURANCE INSIGHTS

GCB 5

We are currently seeking a high calibre professional to join our team as a MANAGER, INSURANCE INSIGHTS.

In this role you will:

• Own the end-to-end management information (MI) and analytics suite for senior stakeholders: define KPI frameworks, data definitions, governance, refresh cadence, and automated distribution.
• Design and build scalable analytics products (dashboards, scorecards, self-serve datasets) using strong data modelling and visualization practices; ensure insights are actionable and decision-led.
• Lead deep-dive analyses and root-cause diagnostics on sales, revenue, customer behavior and channel performance; translate findings into clear recommendations and measurable actions.
• Develop forecasting and performance monitoring models in partnership with Distribution, Finance and Actuarial: driver-based forecasting, scenario/sensitivity analysis, and variance attribution (plan vs actual).
• Apply advanced analytics and AI to improve performance and efficiency: automate recurring reporting, deploy GenAI for insight generation
• Strengthen data quality and controls: implement reconciliation checks, lineage documentation, and exception monitoring to improve accuracy, auditability and stakeholder confidence.
• Build market and competitive intelligence analytics: integrate external data sources, track market movements, identify emerging risks/opportunities, and quantify business impact for strategy discussions.
• Coach and develop team members/new joiners on analytics standards, storytelling, tooling (Excel/Python/BI), and best practices for reproducible analysis and documentation.

To be successful you will:

• University degree in relevant discipline (e.g., Data/Computer Science, Statistics, Economics, Finance, Actuarial, Engineering or similar).
• Prior experience in financial services, ideally insurance/wealth, with strong hands-on analytics delivery supporting commercial decisions across multiple distribution channels.
• Demonstrated capability in data analytics and modelling: KPI design, data wrangling, forecasting, segmentation, and performance measurement; experience turning ambiguous questions into structured analyses.
• Strong proficiency in Excel and Python (e.g., pandas, numpy, stats/ML, web scraping libraries) and data visualization/BI tools (e.g., Qliksense/Power BI/Tableau/Looker); ability to build automated, maintainable reporting pipelines.
• Working knowledge of data management concepts (data modelling, data quality controls, metric definitions, versioning, documentation); SQL experience is a must.
• Experience applying AI/advanced analytics to business problems (automation, predictive modelling, GenAI-assisted insight generation) with appropriate risk and governance awareness.
• Proven stakeholder management and communication skills: able to present complex analysis clearly to senior management and influence decisions.
• Ability to work independently, manage priorities, and deliver high-quality outputs at pace.
• Effective communication and interpersonal skills

HSBCLife2026

Opening up a world of opportunity

www.hsbc.com/careers

HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.

Issued by The Hongkong and Shanghai Banking Corporation Limited.

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