Manulife · 6 hours ago
Researcher, Asset Management AI
Manulife is a leading international financial services provider, and they are seeking a motivated and innovative AI Researcher, Asset Management. In this pivotal role, you will collaborate with investment teams to deliver advanced AI solutions, drive research and development, and enhance investment decision-making through data science and machine learning techniques.
FinanceFinancial ExchangesFinancial Services
Responsibilities
Work closely with investment professionals to identify AI/ML project opportunities, develop prototypes, and implement key capabilities tailored to fundamental investment processes
Design, build, and maintain Python SDKs, libraries, and applications for investment insights, portfolio construction, and risk management
Lead or contribute to cutting-edge research projects, including adversarial machine learning, synthetic data generation, and deep generative modeling for financial applications
Define and implement best practices for MLOps, CI/CD, and data governance, ensuring robust and scalable AI infrastructure
Stay current with advancements in LLMs, GenAI, time series simulation, and integrate emerging technologies into investment workflows
Effectively explain complex concepts to various stakeholders and support the adoption of new AI tools and processes
Qualification
Required
PhD or Masters equivalent in Financial Engineering, Machine Learning, Statistics, Mathematics, Computer Science or related field
5+ years in financial markets (buy-side preferred), with direct exposure to processes supporting fixed income trading and investment
Fixed income trading, valuation, with demonstrated buy side or sell side research experience
Advanced Python programming and open-source software development (e.g., DeltaPy, AtsPy, DataGene, MTSS-GAN)
Experience with cloud platforms (Azure preferred), ML development environments (Databricks), and containerization (Docker, Kubernetes)
Familiarity with CI/CD tools (Jenkins, CircleCI), experiment tracking (MLFlow), and full ML lifecycle management
Expertise in LLM, time series forecasting, synthetic data generation, and model risk management
Experience working with investment data, including understanding of security characteristics, propagation up and down the hierarchy, and the impact of corporation actions
Experience in deploying and maintaining RAG pipelines and working with vector databases like MongodB/ LancedB
Experience developing within an agentic framework, using Langgraph, Semantic Kernel, MCP etc
Understanding of the research process showcased by at least one publication or major project
Familiarity with cloud platforms (preferably Azure), ML development environments (Databricks), and containerization technologies (Docker, Kubernetes)
Exposure to experiment tracking tools (e.g., MLFlow) and monitoring solutions
Preferred
Strong communication skills and experience working with cross-functional teams in investment management
Hands-on experience with Databricks Unity Catalog and full-stack engineering for proof-of-concept demos
Demonstrated ability to rapidly learn and apply new frameworks and libraries
Contributions to published work in top journals, open-source contributions with significant adoption
Benefits
Health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans
Various retirement savings plans (including pension/401(k) savings plans and a global share ownership plan with employer matching contributions)
Financial education and counseling resources
Generous paid time off program in the U.S. includes up to 11 paid holidays, 3 personal days, 150 hours of vacation, and 40 hours of sick time (or more where required by law) each year
Full range of statutory leaves of absence
Company
Manulife
Manulife is a leading international financial services group that helps people make their decisions easier and lives better.
Funding
Current Stage
Public CompanyTotal Funding
$3.31B2025-12-02Post Ipo Debt· $1B
2024-06-11Post Ipo Debt· $363.5M
2023-03-07Post Ipo Debt· $1.2B
Recent News
2026-01-21
Company data provided by crunchbase