Data and Portfolio Optimisation Lead at Chubb

, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

03 May, 26

Salary

0.0

Posted On

02 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analytics, Portfolio Management, Market Analysis, Optimization Techniques, Statistical Methods, Exploratory Data Analysis, Hypothesis Testing, Performance Tracking, Reporting, Documentation, Collaboration, Process Improvement, Data Management, Predictive Risk Assessments, Automation, Governance Process

Industry

Insurance

Description

Job Summary: We are seeking a highly analytical and detail-oriented Data and Portfolio Optimization Analyst to join our dynamic team. The ideal candidate will possess a robust understanding of data analytics, portfolio management, market analysis and optimization techniques to assess portfolio health, identify trends and undertake predictive risk assessments. This role requires proficiency in leveraging data to inform decision-making, develop models, and implement strategies that align with the company’s strategic objectives. The successful candidate will support and work closely with Portfolio Management Team in delivering Key Responsibilities: Data Analysis: Support with the reform and reclassification of A&H product data to enable portfolio automation and modernization Create and embed a product set up governance process. Gather, clean, and analyze new datasets with the aim of identifying automation opportunities. Utilize statistical methods and tools to conduct exploratory data analysis and hypothesis testing. Portfolio Management: Development and management of our Accident and Health portfolio by analyzing portfolio health, identifying trends and recommending solutions. Monitor and evaluate portfolio performance against benchmarks and key performance indicators (KPIs). Optimization Techniques: Development and implement optimization techniques for underwriting, claims processing, and pricing models to enhance operational efficiency. Support the development of advanced analytical tools and dashboards for real-time performance tracking. Reporting and Documentation: Prepare comprehensive reports and visualizations to present findings, insights, and recommendations to stakeholders. Document models, processes, and methodologies for compliance and future reference. Collaboration: Work closely with portfolio managers, product development, actuaries, underwriting, financial analysts, and other team members to integrate data-driven insights into strategic initiatives. Participate in cross-functional projects to enhance data quality and optimize workflows across the organization. Continuous Improvement: Stay abreast of developments in portfolio management techniques and data analytics tools. Identify opportunities for process improvements and implement best practices in data management and analysis.

Responsibilities

The role involves supporting the reform and reclassification of product data, analyzing portfolio health, and developing optimization techniques for various processes. The candidate will also prepare reports and collaborate with various teams to integrate data-driven insights into strategic initiatives.