Know ATS Score
CV/Résumé Score
  • Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: Manager, Claims & FWA Data Analytics.
Hong Kong Jobs Expertini

Urgent! Manager, Claims & FWA Data Analytics Job Opening In Hong Kong, Hong Kong – Now Hiring Prudential plc

Manager, Claims & FWA Data Analytics



Job description

Prudential’s purpose is to be partners for every life and protectors for every future.

Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured, for our people, customers, and partners.

We provide a platform for our people to do their best work and make an impact to the business, and we support our people’s career ambitions.

We pledge to make Prudential a place where you can Connect, Grow, and Succeed.

This is a high-impact leadership role responsible for driving claims operational excellence and fraud intelligence across Life and Health insurance portfolios.

As Manager of Claims & FWA Data Analytics, you will lead the design and execution of data-driven strategies to optimize claims performance, monitor operational KPIs, and proactively detect and mitigate fraud, waste, and abuse.

You will be a trusted advisor to Claims, Risk, Legal, and Technology teams, enabling transformation through analytics, automation, and governance.

Why This Role Is Elite:

  • Dual Domain Leadership: Shape both claims strategy and fraud intelligence for Life & Health portfolios.
  • Operational Impact: Direct influence on claims efficiency, customer satisfaction, and cost containment.
  • Innovation-Driven: Lead the adoption of AI/ML in claims adjudication and fraud detection.
  • Strategic Visibility: High-impact role with direct reporting to senior leadership and regulators.
  • Job Responsibilities:

    1.

    Claims Operations Analytics

  • Monitor and analyze key operational metrics including Turnaround Time (TAT), Straight-Through Processing (STP) rates, First-Time Resolution, and Cost per Claim.

  • Develop and maintain performance dashboards for Claims leadership to track service levels, efficiency, and customer experience.

  • Identify bottlenecks and recommend process improvements to enhance claims adjudication speed and accuracy.

  • 2.

    FWA Detection & Prevention

  • Design and deploy predictive models and rule-based engines to detect suspicious claims behaviors and fraud typologies.

  • Lead analytics support for Special Investigation Unit (SIU), Legal, and Compliance teams.

  • Quantify financial impact of FWA cases and support recovery and litigation efforts.

  • 3.

    Strategic Claims Insights

  • Analyze claims trends across Life and Health products to identify leakage, inefficiencies, and improvement opportunities.

  • Provide actionable insights to Claims leadership on provider behavior, customer patterns, and operational risks.

  • Support strategic initiatives such as claims automation, digital adjudication, and benefit optimization.

  • 4.

    Data Infrastructure & Technology Enablement

  • Collaborate with IT and Data Engineering to build scalable data pipelines and analytics platforms.

  • Evaluate and integrate third-party tools (e.g., OCR/NLP for document processing, fraud scoring engines, consortium databases).

  • 5.

    Governance, Compliance & Reporting

  • Ensure analytics processes comply with Hong Kong Insurance Authority (IA) regulations and internal audit standards.

  • Prepare executive-level reports and regulatory submissions on claims performance and fraud risk.

  • 6.

    Leadership & Collaboration

  • Mentor junior analysts and foster a high-performance analytics culture.

  • Lead cross-functional task forces on claims transformation, fraud prevention, and regulatory readiness.

  • Represent the company in industry forums and consortiums on claims analytics and fraud intelligence.

  • Job Requirements:

  • Bachelor’s or Master’s degree in Data Science, Actuarial Science, Statistics, Insurance, or related field.

  • 6–10 years in Life & Health insurance claims analytics, with deep exposure to both operational and fraud domains.

  • Proven track record in driving claims transformation through data.

  • Experience in managing claims KPIs, STP initiatives, and fraud detection programs.

  • Advanced proficiency in Python, R, SQL, Power BI/Tableau

  • Experience with machine learning, NLP, and automation tools

  • Familiarity with claims systems (e.g., Guidewire, Duck Creek) and cloud platforms (Azure, AWS)

  • Preferred Certifications: Certified Fraud Examiner (CFE), ACII / FLMI / CPCU, Data Science or AI certifications


  • Required Skill Profession

    Operations Specialties Managers



    Your Complete Job Search Toolkit

    ✨ Smart • Intelligent • Private • Secure

    Start Using Our Tools

    Join thousands of professionals who've advanced their careers with our platform

    Rate or Report This Job
    If you feel this job is inaccurate or spam kindly report to us using below form.
    Please Note: This is NOT a job application form.


      Unlock Your Manager Claims Potential: Insight & Career Growth Guide


    • Real-time Manager Claims Jobs Trends in Hong Kong, Hong Kong (Graphical Representation)

      Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Manager Claims in Hong Kong, Hong Kong using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 2965 jobs in Hong Kong and 2249 jobs in Hong Kong. This comprehensive analysis highlights market share and opportunities for professionals in Manager Claims roles. These dynamic trends provide a better understanding of the job market landscape in these regions.

    • Are You Looking for Manager, Claims & FWA Data Analytics Job?

      Great news! is currently hiring and seeking a Manager, Claims & FWA Data Analytics to join their team. Feel free to download the job details.

      Wait no longer! Are you also interested in exploring similar jobs? Search now: .

    • The Work Culture

      An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Prudential plc adheres to the cultural norms as outlined by Expertini.

      The fundamental ethical values are:
      • 1. Independence
      • 2. Loyalty
      • 3. Impartiality
      • 4. Integrity
      • 5. Accountability
      • 6. Respect for human rights
      • 7. Obeying Hong Kong laws and regulations
    • What Is the Average Salary Range for Manager, Claims & FWA Data Analytics Positions?

      The average salary range for a varies, but the pay scale is rated "Standard" in Hong Kong. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

    • What Are the Key Qualifications for Manager, Claims & FWA Data Analytics?

      Key qualifications for Manager, Claims & FWA Data Analytics typically include Operations Specialties Managers and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.

    • How Can I Improve My Chances of Getting Hired for Manager, Claims & FWA Data Analytics?

      To improve your chances of getting hired for Manager, Claims & FWA Data Analytics, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

    • Interview Tips for Manager, Claims & FWA Data Analytics Job Success
      Prudential plc interview tips for Manager, Claims & FWA Data Analytics

      Here are some tips to help you prepare for and ace your job interview:

      Before the Interview:
      • Research: Learn about the Prudential plc's mission, values, products, and the specific job requirements and get further information about
      • Other Openings
      • Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.
      • Dress Professionally: Choose attire appropriate for the company culture.
      • Prepare Questions: Show your interest by having thoughtful questions for the interviewer.
      • Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.
      During the Interview:
      • Be Punctual: Arrive on time to demonstrate professionalism and respect.
      • Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.
      • Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.
      • Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.
      • Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.
      • Follow Up: Send a thank-you email to the interviewer within 24 hours.
      Additional Tips:
      • Be Yourself: Let your personality shine through while maintaining professionalism.
      • Be Honest: Don't exaggerate your skills or experience.
      • Be Positive: Focus on your strengths and accomplishments.
      • Body Language: Maintain good posture, avoid fidgeting, and make eye contact.
      • Turn Off Phone: Avoid distractions during the interview.
      Final Thought:

      To prepare for your Manager, Claims & FWA Data Analytics interview at Prudential plc, research the company, understand the job requirements, and practice common interview questions.

      Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Prudential plc's products or services and be prepared to discuss how you can contribute to their success.

      By following these tips, you can increase your chances of making a positive impression and landing the job!

    • How to Set Up Job Alerts for Manager, Claims & FWA Data Analytics Positions

      Setting up job alerts for Manager, Claims & FWA Data Analytics is easy with Hong Kong Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!