Top Tech Jobs & Startup Jobs

Conduct medical, mortality, and underwriting research to modernize and maintain the Manulife Underwriting Manual across Asia. Evaluate medical evidence, mortality risks, underwriting methodologies, and portfolio impacts; develop defensible guidance on requirements, classifications, ratings, and exclusions. Collaborate with underwriting, medical, actuarial, claims, and external experts, while presenting recommendations to leadership and governance committees. Support risk philosophy development and AI-enabled underwriting knowledge assets.

Design, build, and maintain scalable ETL/ELT pipelines and data architecture using Azure Data Factory and Databricks. Integrate and govern data across sources, ensure quality and security, automate pipelines with CI/CD/DevOps practices, collaborate with data teams, and optimize performance for analytics and operational use.

Design, build, and maintain scalable ETL/ELT pipelines and data architecture on Azure. Integrate and govern data sources, ensure quality and security, automate deployments, and collaborate with data scientists, analysts, and business teams to support analytics and operational use.

Design, build, and scale cloud-native AI applications, APIs, microservices, distributed systems, agent workflows, retrieval-augmented pipelines, and real-time inference services. Prototype and productionize AI capabilities while contributing to architecture, DevOps automation, security, governance, observability, and responsible AI practices. Collaborate with product, cloud, and engineering teams, and provide technical mentorship.

Reviews and verifies residential mortgage application documents, ensures conditions are met, administers new mortgage business, processes related transactions, and provides instructions to legal representatives. The role resolves inquiries, supports internal partners, manages high-volume workloads, contributes to process improvements, investigates complaints, and follows banking policies for mortgage discharges. Fully bilingual French and English communication is required.

Design, develop, and support cloud-native trading, analytics, and risk-management applications on Azure. Integrate market data and AI/ML capabilities, maintain CI/CD pipelines, collaborate with product and business stakeholders, and drive Agile engineering best practices to deliver scalable derivatives technology.

Designs, builds, and operates enterprise database platforms across cloud and hybrid environments. Responsibilities include setting architecture standards, implementing high availability and disaster recovery, tuning performance, planning capacity, automating operations, supporting incident response, improving reliability, and developing runbooks. The role supports relational and NoSQL databases, contributes to modernization and cloud transformation roadmaps, evaluates technologies, leads major incident investigations, and mentors junior engineers.

Supports Manulife’s global marketing strategy and transformation agenda through strategic planning, business reporting, competitive intelligence, executive insights, special projects, and thought leadership. Develops executive presentations, synthesizes complex research and performance data, evaluates strategic opportunities and risks, and provides actionable recommendations to marketing and enterprise leadership. Partners with stakeholders across the organization to track priorities, improve reporting governance, and assess evolving customer, industry, digital, data, AI, and marketing technology trends.

Leads brand strategy, governance, creative and content oversight, integrated campaign execution, merchandise programs, agency and vendor relationships, performance measurement, and innovation for Manulife Wealth and Asset Management. The role ensures brand consistency, campaign effectiveness, budget and operational discipline, and alignment across internal teams and external partners. It also involves coaching direct reports and using data, insights, and AI-enabled marketing tools to improve brand impact.

Develop and deploy production-grade AI, machine learning, and generative AI solutions for insurance business challenges. Responsibilities include building LLM applications, prompt engineering, RAG workflows, data pipelines, experiments, proof-of-concepts, and scalable AI systems. The role involves monitoring model performance, generating business insights, collaborating with stakeholders, and communicating technical findings to diverse audiences.