Head of Data Science – Technology Solutions

Franklin Templeton

Head of Data Science at Franklin Templeton developing AI-enabled data science capabilities within Investment Technology Solutions. Collaborating with investment professionals to enhance investment outcomes and risk management.

Posted 5/8/2026full-timeNew York City • Connecticut, Maryland, Massachusetts, New York • 🇺🇸 United StatesLead💰 $208,000 - $270,000 per yearWebsite

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Lead the development of a globally scalable, AI-enabled data science capability within Investment Technology Solutions (ITS)
Partner closely with CIOs, Portfolio Managers, and Research Heads
Develop and productionalize alpha signals, risk models, optimization engines, liquidity analytics, and scenario modelling capabilities
Ensure analytics are embedded within portfolio construction, trading, and risk systems
Drive quantifiable improvements in performance attribution, risk-adjusted returns, drawdown management, and portfolio efficiency
Design and implement a robust, cloud-enabled data science platform
Collaborate with Risk, Finance, Operations, and Distribution teams to extend AI capabilities
Establish and scale a high-performing global data science organization embedded within ITS
Implement robust model validation, monitoring, and lifecycle management processes

Requirements

What you’ll need

10+ years’ experience in asset management, capital markets, or quantitative investment technology environments
Demonstrated leadership building and scaling data science or quantitative analytics teams within a technology-enabled operating model
Proven track record delivering production-grade AI/ML solutions embedded in investment platforms
Experience operating in regulated financial services environments
Deep understanding of multi-asset portfolio construction and optimization
Capital Markets expertise
CFA designation strongly preferred
Advanced degree (PhD/MSc) in quantitative finance, statistics, mathematics, computer science, or related discipline desirable
Strong command of statistical modelling, machine learning, and time-series analysis
Experience integrating alternative datasets into investment workflows
Familiarity with cloud-native data architectures, distributed compute, and MLOps frameworks
Experience working with enterprise investment platforms (e.g., Aladdin, Wall Street Office, Axioma) strongly preferred

Benefits

Comp & perks

Health insurance
401(k) Retirement Plan with 85% company match
Employee Stock Investment Program
Tuition Assistance Program
Purchase of company funds with no sales charge
Onsite fitness center and recreation center
Onsite cafeteria
Paid time off (vacation / holidays / sick / leave / parental & caregiving leave / bereavement / volunteering / floating holidays)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AImachine learningstatistical modellingtime-series analysisportfolio constructionoptimizationrisk modelsproduction-grade solutionsmodel validationMLOps

Soft Skills

leadershipcollaborationcommunicationorganizational skillsperformance attributionrisk-adjusted returnsdrawdown managementportfolio efficiency

Certifications

CFAPhDMSc