Applied AI Engineer at Upvest driving AI implementation to enhance business efficiency. Collaborating with teams to integrate AI solutions and optimize workflows across company operations.
About the role
- Director overseeing AI-driven investing platform at John Hancock. Leading cross-functional teams to enhance investment decisions with AI technology.
Responsibilities
- Lead and mentor a team of AI product managers, quantitative researchers, data scientists, and technologists focused on advancing our AI investment platform
- Act as a strategic advisor to senior investment leaders on AI’s evolving role in portfolio management and research workflows
- Oversee the full lifecycle of the firm’s proprietary AI investing tool, from research and model development to deployment, monitoring, and enhancement
- Partner closely with portfolio managers, analysts, and risk teams to identify high-value use cases for AI such as company scoring models or macroeconomic signal generation
- Ensure data quality, transparency, and explainability in all AI models used for investment decisions
- Serve as a strategic interface between investment leadership, technology executives, and the board providing clear reporting on AI strategy, progress, and business outcomes
- Lead budget planning, resource allocation, and vendor relationships related to AI infrastructure, alternative data sources, and analytics partnerships
Requirements
- Bachelor’s degree in Finance, Computer Science, Engineering, Economics, or a related field; MBA or advanced quantitative degree preferred
- 10+ years of experience in asset management, investment technology, or analytics, with demonstrated success leading cross-functional teams and communications
- Demonstrated understanding of investment concepts, including some exposure to quantitative methods
- Deep understanding of fundamental investing principles and how AI/ML can augment research, valuation, and portfolio construction processes
- Proven expertise in product management, data governance, and product lifecycle management within a regulated financial environment
- Familiarity with Python, cloud data platforms, and modern ML frameworks is advantageous
- Experience supporting sales and client relationships in an institutional investment setting is a plus
Benefits
- health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits
- 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. including 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
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