Manulife
Director, AI Asset Management
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Director, AI Asset Management
Our Director, AI Asset Management, is an experienced investment professional with a proven record of innovation in academia and industry. You lead the research agenda designed to bridge the gap between investment teams and AI capabilities.
Position Responsibilities
- Deliver production AI/ML tools to investment teams across equities, fixed income, derivatives, and multi-asset strategies
- Build reusable Python SDKs and libraries connecting investment datasets to AI/ML pipelines on Azure/Databricks
- Translate investment research questions into quantifiable, testable hypotheses
- Contribute domain-informed enhancements to DORA and our agentic AI platforms
- Adopt and support MLOps processes (CI/CD, experiment tracking, model monitoring) established by the platform team
- Publish and present internal research that influences investment decisions
Required Qualifications
Investment Expertise
- 5+ years buyside or sellside experience across multiple asset classes
- Deep knowledge of at least 2 asset classes: equities (fundamental and systematic), fixed income (IG credit, HY, rates, mortgages, structured), derivatives (options, swaps, futures — pricing, greeks, hedging), or multi-asset portfolio construction
- CFA charter or progress strongly preferred
- Understanding of security characteristics, corporate actions, risk attribution, and the full investment lifecycle
Quantitative Research & Development
- PhD or MS in a quantitative field (computational finance, statistics, mathematics, physics, CS, or related)
- Hands-on Python development — ships production code, not just notebooks
- Experience with statistical modeling: time series forecasting, generative models, adversarial ML, or factor models
- Familiarity with financial datasets: Bloomberg, FactSet, MSCI, alternative data sources
- Understanding of data quality, survivorship bias, point-in-time data requirements
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AI/ML & Technology
- Experience with LLMs, RAG pipelines, vector databases, and prompt engineering
- Familiarity with agentic frameworks (LangGraph, Semantic Kernel, MCP)
- Proficient user of cloud platforms (Azure, Databricks) and CI/CD workflows (Jenkins, CircleCI, GitHub Actions)
- Modern Python tooling: uv, ruff, pytest
- Open-source contributions a strong plus (e.g., DeltaPy, AtsPy, DataGene, MTSS-GAN)
When you join our team
- 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 empower you to learn, we’ll support you in shaping the future you want to see.
#LI-Hybrid
The role being advertised is an existing vacancy.
About Manulife and John Hancock
Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit https://www.manulife.com/en/about/our-story.html.
Manulife is an Equal Opportunity Employer
At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.
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It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact hr@manulife.com.
Referenced Salary Location
London, UK
Working Arrangement
Hybrid
Salary range is expected to be between £92,475.00 GBP - £166,455.00 GBP
Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. The actual salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. If you are applying for this role outside of the primary location, please contact hr@manulife.com for the salary range for your location.
Manulife offers eligible employees a market competitive benefits package, including health, dental, short- and long-term disability, life insurance coverage, and employee/family assistance plans. We also offer eligible employees various retirement savings plans, along within generous paid time off program includes holidays, vacation, personal, and sick days.
We use data and analytics technologies, such as artificial intelligence (AI), and automated processing tools, to analyze and process the information you provide to us or third parties in the application process. For more information, please refer to our personal information collection statement.
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