Data Analyst (Top financial institution)

Key Responsibilities

1. Regulatory Reporting Automation (HKIA & AMCM)

• Streamline, optimize, and automate the ingestion and consolidation of in-force and new business data across multiple core source systems.
• Design and deploy automated validation rules, data quality controls, and trend-checking algorithms to guarantee accuracy, consistency, and auditability in regulatory filings.

2. Finance & Actuarial Data Engineering

• Automate complex data breakdowns for reinsurance receivables and payables to support Economic Balance Sheet (EBS) reporting, seamlessly integrating data feeds across disparate platforms.
• Upgrade claims data architecture, processing, cleansing, and reconciliation workflows to ensure precision in medical statutory reporting.

3. Process Optimization & Analytics Support

• Audit existing data flows, working spreadsheets, and reporting infrastructure to identify and eliminate operational bottlenecks.
• Execute ad-hoc data analysis and contribute to strategic enhancement initiatives across the Finance, Actuarial, and Investment teams.
• Build comprehensive data dictionaries, mapping logic, transformation rules, and technical workflow documentation to maintain long-term system transparency.

Qualifications & Requirements

• Education: Bachelor’s degree or higher in Data Science, Statistics, Computer Science, Mathematics, Actuarial Science, or a related quantitative field.

• Experience: Minimum of 2-4 years of progressive experience in data analytics, data engineering, or business intelligence—preferably within insurance or financial services.

• Technical Mastery:

  • Core: Strong hands-on proficiency in Python for data manipulation and automation is essential.
  • Data Architecture: Experience with modern enterprise data lakes/platforms (e.g., Databricks) and advanced ETL tools (e.g., Alteryx) is highly preferred.
  • Visualization: Familiarity with BI platforms like Power BI or Tableau is an advantage.

• Domain Knowledge: Prior exposure to insurance regulatory reporting frameworks (HKIA / AMCM), insurance accounting, or actuarial data structures is a strong plus.

• Soft Skills:

  • Advanced analytical, problem-solving, and critical-thinking capabilities.
  • Strong communication skills with a track record of effectively translating complex technical concepts for finance and actuarial stakeholders.
  • High degree of autonomy, adaptability, and the ability to deliver under fixed project milestones.