This role provides the opportunity to support analytics‑enabled initiatives by developing and delivering data analysis and models that address defined business needs. As part of the MBPS Advanced Analytics team, the role contributes to Manulife’s mission of helping customers make decisions easier and lives better by producing reliable, actionable insights from data. The successful candidate will work closely with internal teams and business stakeholders to execute analytics tasks across various use cases within the customer lifecycle. Through this role, they will gain hands‑on experience working with real business data, established analytics processes, and end‑to‑end solution delivery.
Position Responsibilities
- Develop and implement analytics‑enabled solutions to improve business processes, generate insights, and support business strategy
- Own and deliver end‑to‑end analytics projects of moderate complexity, while contributing to larger, more complex initiatives
- Analyze large and complex datasets to generate actionable insights and translate findings into clear business recommendations
- Collaborate closely with business stakeholders and subject matter experts to understand data sources, processes, and business needs
- Provide guidance and mentorship to junior data scientists and contribute to knowledge sharing within the analytics community
Required Qualifications
- Minimum of 2 years of relevant experience in analytics, data science, or a related field
- At least 2 years of hands‑on experience using programming languages such as Python, R, SAS, or SPSS, and SQL for data analysis
- Advanced degree in Statistics, Mathematics, Computer Science, Engineering, or a related field; or a Bachelor’s degree with equivalent technical experience
- No licenses required
Preferred Qualifications
- Experience applying statistical modeling and machine learning techniques (e.g., regression, clustering, decision trees, survival analysis)
- Working knowledge of AI, GenAI, or advanced analytics toolkits and frameworks, including exposure to Retrieval‑Augmented Generation (RAG)
- Exposure to cloud platforms (e.g., Azure, AWS, or GCP) for data processing, model development, or solution deployment
- Experience with data visualization tools such as Tableau, Qlik, or open‑source libraries (e.g., ggplot, d3)
- Familiarity with relational database models and large‑scale data environments
- Experience designing or implementing scalable, end‑to‑end analytics processes with appropriate governance and tracking mechanisms
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