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The Head of Data Science will lead the development of a globally scalable, AI-enabled data science capability within Investment Technology Solutions (ITS), delivering advanced analytics and machine learning solutions that directly enhance investment outcomes across asset classes.
Reporting to the Head of ITS, this role will bridge front-office investment teams and enterprise technology—ensuring that data science capabilities are platform-based, industrialized, and embedded into portfolio construction, risk management, and investment operations workflows.
The mandate combines three core objectives:
Deliver measurable impact to investment performance and risk management. Build and scale an enterprise-grade data science and AI platform. Establish a globally collaborative operating model aligned to ITS strategy.
Key ResponsibilitiesInvestment-Focused Delivery
Partner closely with CIOs, Portfolio Managers, and Research Heads to translate investment challenges into scalable analytical solutions.
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 (e.g., Aladdin, Wall Street Office, Axioma or equivalent platforms).
Drive quantifiable improvements in performance attribution, risk-adjusted returns, drawdown management, and portfolio efficiency.
Data Science Platform & Architecture
Design and implement a robust, cloud-enabled data science platform supporting:
Research and experimentation environments
Feature stores and reusable signal libraries
Model development, validation, and testing frameworks
MLOps and model lifecycle management
Deployment pipelines into investment and risk platforms
Ensure architecture supports cross-asset reuse, security, auditability, and regulatory compliance.
Align platform standards with broader ITS data and infrastructure strategy.
Enterprise & Cross-Functional AI Enablement
Collaborate with Risk, Finance, Operations, and Distribution teams to extend AI capabilities where aligned to investment technology priorities.
Contribute to enterprise AI initiatives including stress testing automation, operational intelligence, and advanced reporting analytics.
Represent ITS Data Science in enterprise AI governance and model risk forums.
Promote responsible AI principles including explainability, transparency, and bias mitigation.
Organizational Build & Global Scale
Establish and scale a high-performing global data science organization embedded within ITS.
Develop a federated delivery model supporting regional investment teams across market hours.
Create clear differentiation between quantitative research, data science, AI engineering, and ML platform engineering roles.
Implement strong talent development pathways to build deep capital markets and vendor platform expertise.
Product Mindset & Value Realization
Operate data science as a product capability, with defined roadmaps, prioritization frameworks, and measurable value tracking.
Establish adoption metrics and performance KPIs for all deployed solutions.
Balance near-term market support needs with longer-term platform innovation.
Governance & Controls
Implement robust model validation, monitoring, and lifecycle management processes.
Ensure compliance with model risk management standards and regulatory expectations.
Maintain data lineage transparency and documentation standards aligned with ITS governance frameworks.
Candidate Profile
Experience
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.
Capital Markets Expertise
Deep understanding of:
Multi-asset portfolio construction and optimization
Risk modelling and stress testing
Market structure, liquidity dynamics, and execution considerations
CFA designation strongly preferred.
Advanced degree (PhD/MSc) in quantitative finance, statistics, mathematics, computer science, or related discipline desirable.
Technical & Platform Expertise
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.
Leadership & Operating Style
Technology-forward leader with strong investment credibility.
Product-oriented and outcome-driven.
Comfortable operating in a global, matrixed ITS organization.
Strong communicator capable of influencing senior investment and technology stakeholders.
Franklin Templeton offers employees a competitive and valuable range of total rewards—monetary and non-monetary — designed to support their well-being and recognize their time, talents, and results. Along with base compensation, employees are eligible for an annual discretionary bonus, a 401(k) plan with a generous match, and recognition rewards. We also offer a comprehensive benefits package, which includes a range of competitive healthcare options, insurance, and disability benefits, employee stock investment program, learning resources, career development programs, reimbursement for certain education expenses, paid time off (vacation / holidays / sick / leave / parental & caregiving leave / bereavement / volunteering / floating holidays) and a motivational wellbeing program. We expect the annual salary for this position to range between $208,000 - $270,000, depending on location and level of relevant experience, plus discretionary bonus.
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Experience our welcoming culture and reach your professional and personal potential!Our culture is shaped by the variety of perspectives and experiences brought by talent from around the world. Regardless of your interests, lifestyle, or background, there’s a place for you at Franklin Templeton. We provide employees with the tools, resources, and learning opportunities to help them excel in their career and personal life.
By joining us, you will become part of a culture that focuses on employee well-being and provides multidimensional support for a positive and healthy lifestyle. We understand that benefits are at the core of employee well-being and may vary depending on individual needs. Whether you need support for maintaining your physical and mental health, saving for life’s adventures, taking care of your family members, or making a positive impact in your community, we aim to have your needs covered. Learn more about the wide range of benefits we offer at Franklin Templeton.
Highlights of our benefits include:
Three weeks paid time off the first year
Medical, dental and vision insurance
401(k) Retirement Plan with 85% company match on your pre-tax and/or Roth contributions, up to the IRS limits
Employee Stock Investment Program
Tuition Assistance Program
Purchase of company funds with no sales charge
Onsite fitness center and recreation center*
Onsite cafeteria*
*Only applicable at certain locations
Learn more about the wide range of benefits we offer at Franklin Templeton
Franklin Templeton is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all applicants and employees, and we evaluate qualified applicants without regard to ancestry, age, color, disability, genetic information, gender, gender identity, or gender expression, marital status, medical condition, military or veteran status, national origin, race, religion, sex, sexual orientation, and any other basis protected by federal, state, or local law, ordinance, or regulation.
If you believe that you need an accommodation or adjustment to search for or apply for one of our positions, please send an email to [email protected]. In your email, please include the accommodation or adjustment you are requesting, the job title, and the job number you are applying for. It may take up to three business days to receive a response to your request. Please note that only accommodation requests will receive a response.
Skills Required
- 10+ years experience in asset management or quantitative investment technology
- Leadership experience building data science or quantitative analytics teams
- Proven track record in delivering AI/ML solutions for investment platforms
- Experience in regulated financial services environments
- CFA designation strongly preferred
- PhD/MSc in quantitative finance, statistics, mathematics, or computer science preferred
- Strong command of statistical modelling and machine learning
- Experience with enterprise investment platforms like Aladdin or Axioma
Franklin Templeton Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Franklin Templeton and has not been reviewed or approved by Franklin Templeton.
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Retirement Support — Retirement programs include a 401(k) with employer matching, an Employee Stock Investment Plan, and financial wellness resources for long‑term savings. These elements indicate robust support for building long‑term financial security.
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Healthcare Strength — Medical, dental, and vision coverage are complemented by life, disability, and accident insurance and comprehensive wellness initiatives. Offerings such as vaccinations, screenings, and assistance programs reinforce broad health support.
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Strong & Reliable Incentives — Annual incentives and recognition programs operate within a pay‑for‑performance approach, and a “great bonus system” is described across roles. These mechanisms suggest consistent variable pay opportunities tied to performance.
Franklin Templeton Insights
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