Jobs at Manulife

Lead Singapore investment operations and oversee Asia fund administration across 8+ markets. Ensure NAV accuracy, regulatory (MAS) compliance, vendor oversight, risk control, process improvement, platform implementations, and talent management while driving regional standardization and operational resilience.

Actuarial pricing internship supporting pricing/modeling tasks: Excel-based policy illustrations, UAT testing with Excel/VBA, peer reviews on AXIS, building illustration templates, and ad-hoc assignments.

Oversee sales advisory processes, ensure compliance with regulations, support system enhancements, conduct training, and prepare management reports.

Support the Bancassurance Strategic Development team by assisting with project coordination (timelines, stakeholders, deliverables), documentation, meeting prep and follow-ups. Conduct targeted research and basic data analysis to inform strategy, contribute ideas for digital/Gen AI initiatives, and help improve departmental efficiency under senior guidance.

Lead the development of AI and ML solutions for underwriting, manage a team of data scientists, and ensure compliance and governance in initiatives.

Plan and coordinate events end-to-end, manage budgets and logistics (venue, catering, AV), liaise with vendors and stakeholders, support event execution and administration, collaborate with cross-functional teams, evaluate event success, and recommend improvements to optimize delivery.

Coordinate day-to-day project activities across business and technology teams, track milestones and risks, maintain plans/RAID logs, support Agile ceremonies using Jira/Confluence, prepare status reporting, facilitate stakeholder meetings, and coordinate resources for large-scale digital and technology projects within financial services.

Lead enterprise portfolio strategy and governance: prioritize intake, optimize resource capacity and delivery, track benefits/KPIs, manage portfolio risk/costs, oversee cross-functional strategic programs, and influence senior stakeholders for strategic alignment.

Oversee compliance in insurance sales by managing regulatory support, conducting risk monitoring, and engaging with agency management for performance standards.

Lead and grow bancassurance distribution by implementing sales strategies, coaching relationship managers, managing pipelines, running trainings/events, supporting district leadership, ensuring regulatory compliance, and deepening client engagement to improve productivity, sales effectiveness, and inception ratios across assigned markets.

Lead bancassurance growth for HNW/UHNW clients by implementing distribution strategies, cultivating bank partnerships, developing products/processes, identifying and executing new propositions, running training and events, and supporting pre- and post-sales activities to drive sustainable business expansion.

Lead High Net Worth underwriting for complex, high-value life insurance cases: assess medical, financial, compliance and regulatory risks; make underwriting decisions; partner with distribution and reinsurers; mentor junior underwriters; maintain portfolio quality and mortality objectives.

Manage life, health, and high-net-worth claims from notification through resolution. Assess documentation, investigate fraud/non-disclosure, compute payouts, liaise with stakeholders, ensure regulatory compliance, report claim statistics, meet service standards, and recommend process improvements while supporting projects and audits.

Manage AML/CFT financial crime compliance: review and investigate transaction monitoring alerts and STAs, file STRs, respond to law enforcement and regulators, perform CDD/EDD and SOW/SOF reviews, provide AML guidance, and support audits and process improvements.

The Senior GenAI Scientist develops AI models to enhance marketing initiatives by collaborating with various teams, optimizing systems, and deploying solutions.

Lead development and deployment of Generative AI solutions for underwriting using OpenAI services. Collaborate with engineers and stakeholders to prepare large datasets, build advanced ML models, standardize best practices, and scale AI solutions globally while communicating results to technical and non-technical partners.

As a Machine Learning Engineer, you will develop AI solutions to enhance marketing and sales through collaboration with teams, deploying ML models, and optimizing AI systems.