汇丰
Manager, Medical Claims Analytics & Gen AI Enablement
Manager, Medical Claims Analytics & Gen AI Enablement
发布于 2 个月前中层管理(经理/总监)
Kowloon City, Kowloon, Hong Kong
中级经验
全职员工
混合式弹性办公
本科
数据分析与科学
Generative AI
LLM
Machine Learning
Power BI
Data Analytics
Medical Claims
AI 估算 · 40k–60k
Manager级别，大型跨国银行，香港市场薪资较高，含Gen AI技能有溢价，中位数约5万RMB/月
职位详情
关于这个职位
This role leads data-driven Fraud, Waste & Abuse detection in medical claims using advanced analytics and Gen AI, delivering insights and dashboards to management. You will champion AI automation and collaborate with stakeholders to implement ML and Gen AI solutions for operational efficiency.
最低要求
Bachelor’s degree in Data Science, Statistics, Actuarial Science, Computer Science, Business analytics or related field. A master’s degree is a plus. Prior experience in data analysis & reporting in insurance industry preferably in medical claims/Pricing. Proficiency in Python, Excel (including Pivot tables, macros), Power Point is required. Experience in visualisation tools such as Power BI, Tableau, QlikView. Familiarity with large language models (LLM’s) and Generative AI applications in claims. Strong analytics skills with ability to extract, collect, analyse data with speed and accuracy. Excellent skills in data story telling & articulate insights to management. Effective communication and interpersonal skills, with excellent stakeholder management skill. Good command of written and spoken English. Mandarin or Cantonese is preferred. Results orientated, self-directed and motivated change leader.
工作职责
Lead data driven Fraud, Waste & Abuse (FWA) checks using advanced analytics to identify anomalies, trends, patterns of abuse and insights for cost containment in large sets of Employee Benefits (EB) & VHIS Claims. Deliver management reporting on Claims KPI’s, providing actionable insights and recommendations in a timely & accurate manner. Dashboards & Visualization: Create & maintain business scorecards through visualization tools such as QlikView & Power BI to support decision making process. As an AI champion within the team, identify manual/repetitive workflows and MI that can be automated using AI and data analytics. Compliance & Standards: Ensure all data analytics and reporting activities adhere to relevant regulations & standards. Collaborate with business stakeholders, internal & external technology teams, data teams to build & implement Machine learning & Gen AI solutions which will aid business in operational efficiency & FWA detection. Collaborate with medical community and the insurance industry to generate meaningful insights from industry.
优先资格
Master’s degree is a plus. Mandarin or Cantonese is preferred.
AI 洞察
优缺点分析
优点
- Work at a globally recognized financial institution with strong resources and data.
- Hands-on exposure to cutting-edge Gen AI and LLM applications in real-world claims.
- Hybrid work flexibility and good work-life balance signals.
- Opportunity to drive impactful cost-saving and efficiency improvements.
- Requires balancing multiple stakeholders and complex data landscapes.
- Fast-paced environment with tight deadlines for reporting and insights.
- Need to continuously update skills in rapidly evolving AI technologies.
- An experienced data professional who thrives on applying advanced analytics and AI to solve real business problems in a structured corporate environment.
缺点 / 挑战
暂无明显挑战项
角色解读
- Progress to senior manager or head of analytics within HSBC's insurance division.
- Move into specialized AI roles focusing on Gen AI implementation in finance/insurance.
- Transition to strategic consulting roles in healthcare analytics or InsurTech.
- Lead advanced analytics to detect fraud, waste, and abuse in medical claims data.
- Develop dashboards and reports using Power BI and QlikView for management decision-making.
- Automate manual workflows with AI and implement Gen AI solutions in collaboration with tech teams.
- Ensure compliance with regulations and generate insights from industry data.
- Proficiency in Python, Excel, and data visualization tools like Power BI and Tableau.
- Strong background in machine learning and generative AI, especially LLMs for claims.
- Excellent analytical and storytelling skills to communicate insights to stakeholders.
- Domain knowledge in insurance medical claims and fraud detection is highly valued.
申请策略
- Research HSBC's insurance arm and recent AI initiatives to tailor your cover letter.
- Prepare a portfolio of analytics projects that demonstrate impact and business acumen.
- Emphasize prior experience in insurance claims analytics or healthcare data.
- Showcase projects using Python, Power BI, and machine learning for fraud detection.
- Highlight any exposure to LLMs or generative AI, even in academic or side projects.
- Demonstrate stakeholder management and data storytelling with concrete examples.
- Strengthen Gen AI knowledge: take courses on LLMs, fine-tuning, and prompt engineering.
- Improve domain knowledge of medical claims and VHIS if not already familiar.
面试指南
- Use the STAR method (Situation, Task, Action, Result) for behavioral questions.
- For technical questions, outline the problem, data, model selection, evaluation, and business impact.
- For stakeholder questions, emphasize active listening, tailoring message, and follow-up.
- How would you approach detecting fraudulent medical claims using machine learning?
- Describe a time you used data storytelling to influence a business decision.
- What experience do you have with Generative AI in a corporate setting?
- How do you ensure data analytics compliance with regulations like GDPR or local HK laws?
- Explain a complex analytical model to a non-technical stakeholder.
职位点评
75
综合评分
Global bank, competitive comp, advanced tech stack (Gen AI/LLM), hybrid work, but limited explicit growth signals.
更适合这类人
Best for candidates motivated by cutting-edge AI work and career growth in a stable, well-resourced company, with less emphasis on social mission.
表现最好
成长发展
相对薄弱
使命价值
薪资福利75
成长发展85
工作生活80
使命价值60
薪资福利
75中等
Large multinational with competitive compensation and benefits, though not explicitly disclosed. Typical HSBC packages are above market average.
薪资信号未披露（AI估算：40K-60K/月）
成长发展
85较高
Strong emphasis on Gen AI, LLMs, and advanced analytics, with opportunities to champion AI initiatives. Continuous skill growth is encouraged.
技术前沿前沿/新兴技术
技术栈Python、Machine Learning、LLM、Generative AI、Power BI
业务类型profit_center
工作生活
80较高
Hybrid work model and likely located in Kowloon City, accessible area. No overtime signals.
工作模式混合式弹性办公
办公地点市区核心地段
加班情况未提及（无法判断）
使命价值
60中等
Stable insurance industry with social impact through healthcare cost containment, but not highly mission-driven.
行业发展稳定成熟行业
社会影响中性/一般
创新程度积极采用新技术
Watch Jobs