Lead Data Scientist – Underwriting AI

TheLead Data Scientist – Underwritingis a senior leadership role responsible for drivingregional and BU-level AI, ML, and Generative AI solutionsto transform underwriting decision-making across Asia. This role combinesdeep technical expertise, people leadership, and strong business partnershipto deliver scalable, compliant, and value-generating underwriting capabilities.

You willlead and grow a team of data scientistsfocused on underwriting AI, while also acting as a hands‑on technical leader shaping advanced predictive, prescriptive, and generative solutions. The role partners closely with underwriting, risk, technology, and regional stakeholders, and supports theChief AI Officerin delivering the Asia AI Value agenda and building world‑class, revenue‑generating analytics.

Position Responsibilities

Technical & Business Leadership

• Lead thedesign, development, and deploymentof AI, ML, andGenerative AIsolutions supporting underwriting use cases, including:

  • Underwriting summarization and document intelligence

  • Risk assessment and decision support

  • Straight-through processing (STP) and workflow automation

  • Data‑driven underwriting rules optimization

• Translate complex underwriting and business problems intoscalable analytical and GenAI solutionswith measurable business outcomes.

• Drive adoption of AI solutions by embedding them intoend-to-end underwriting workflows, ensuring usability, governance, and regulatory compliance.

• Partner with reinsurers, vendors, and external technology providers to co‑develop or integrate advanced underwriting solutions.

• Lead, coach, and develop a high‑performing team of data scientistsfocused on underwriting AI and analytics.

Generative AI & Advanced Analytics

• Lead the application ofAI and especially GenAIin underwriting, including:

  • Large Language Models (LLMs) for text‑heavy underwriting data (e.g., medical reports, financial statements, applications)

  • Prompt engineering, retrieval‑augmented generation (RAG), and evaluation frameworks

  • Model orchestration, guardrails, and human‑in‑the‑loop designs

• Ensure AI solutions areresponsible, explainable, auditable, and compliantwith internal AI governance and regulatory expectations.

• Establish standards formodel lifecycle management, performance monitoring, and value tracking for AI and GenAI solutions.

Strategy, Governance & Stakeholder Management

• Contribute toAI and data strategy, focusing on data optimization, monetization, and external data enrichment.

• Collaborate with global and regional teams to definecommon modeling standards, governance, and reusable AI assets, aligned with AI CoE guidelines.

• Maintain a regional/globalmodel repositoryto track models in use, performance, and risks.

• Act as a trusted advisor to underwriting and business leaders, influencing prioritization and investment decisions.

• Proactively identify risks, data challenges, and stakeholder conflicts, and drive alignment and mitigation plans.

Required Qualifications

• 10+ years of experience inAI, machine learning, or advanced analytics, preferably within financial services.

• Strong underwriting, insurance, or reinsurance domain knowledge (highly preferred).

• Proven experience leading complex analytics initiatives inhighly regulated environments.

Technical & GenAI Skills

• Strong hands‑on expertise inML/statistical modeling, segmentation, and underwriting or claims analytics.

• Advanced proficiency inPython, SQL, and common data science toolchains (R, SAS a plus).

• Practical experience withGenerative AI, including:

  • Large Language Models (LLMs)

  • Prompt engineering and RAG architectures

  • Model evaluation, bias mitigation, and explainability

  • AI governance and responsible AI practices

• Experience withcloud and big data platforms(e.g., Azure, Spark, Databricks, Hadoop).

• Strong understanding of deploying models into production, including monitoring and lifecycle management.

Leadership & Communication

• Demonstrated ability tolead and scale teams, mentor data scientists, and manage ambiguity.

• Strong stakeholder management skills with the ability to influence senior leaders across regions.

• Excellent communication and presentation skills, translating technical concepts into business language.

When you join our team

• We’ll empower you to learn and grow the career you want.
• We’ll recognize and support you in a flexible environment where well‑being and inclusion are more than just words.
• As part of our global team, we’ll support you in shaping the future you want to see.

關於宏利和恒康

宏利金融公司是一家業界領先的國際金融服務商，致力於幫助人們實現「輕鬆投資理財，樂享豐盛人生」。若要進一步了解我們，請瀏覽 https://www.manulifeim.com/institutional/tw/en。

宏利是平等機會僱主

在宏利／恒康，我們擁抱多元。我們致力於吸引、培養及挽留和所服務客戶同樣多元的員工，並從而營造包容的工作環境，接納文化和個體差異。我們矢志維持公平的招聘、挽留、晉升及薪酬制度，我們管理的所有實踐及項目不會因種族、血統、原籍地、膚色、族裔、國籍、宗教或宗教信仰、信仰、性別（包括懷孕及其相關情況）、性取向、遺傳特徵、退伍軍人身份、性別認同、性別表達、年齡、婚姻狀況、家庭狀況、殘疾或受適用法律保護的任何其他因素而區別對待。

我們的首要任務是消除障礙，為員工提供平等就業機會。人力資源部代表將盡力為應徵過程中提出要求的申請人提供合理協助。申請人要求提供協助所分享的信息將會按照適用法律及宏利／恒康政策儲存及使用。應徵過程中如需協助，請聯絡 hr@manulife.com。

Working Arrangement

混合式