Research Analyst (AI & Digital Asset Solutions) - EG-US

Franklin Templeton•Boston, MA

13d•Hybrid

About The Position

Franklin Templeton is a forward-thinking asset manager that builds dynamic relationships with clients, understands their goals, and navigates complex markets together. The AI & Digital Asset Solutions team is a newly formed, entrepreneurial research team within Franklin Templeton Investment Solutions (FTIS) focused on applying frontier AI to investment problems and rigorously evaluating digital assets alongside traditional asset classes. This team builds practical tools, models, and frameworks that investment teams can use, bridging cutting-edge research and real-world deployment. On the AI side, they design and implement AI-enabled capabilities across the investment lifecycle for FTIS, working closely with investment business partners, technology, and central AI teams.

Requirements

2+ years of experience in an applied quantitative field, ideally involving deploying DL/ML within an investment management organization.
Advanced degree (MS or PhD) in a technical field such as computer science, machine learning, statistics, mathematics, or a related discipline preferred but not required.
Strong programming skills in at least one modern language (e.g., C++, Python, Java, C#, JavaScript), with the ability to quickly learn new languages and frameworks as needed.
Experience developing or applying machine learning models (e.g., deep learning, time series modeling, or optimization techniques) in real-world settings.
High intellectual curiosity and an entrepreneurial mindset, with a proven ability to quickly learn new concepts and apply them to ambiguous, real-world problems.
Demonstrated experience working on open-ended, ambiguous problems, with the ability to independently scope questions, design approaches, and iterate toward practical solutions.
Proven experience owning end-to-end development of data or AI solutions, from initial concept and modeling through production deployment and real-world adoption.
Strong communication skills with the ability to explain complex quantitative concepts to non-technical stakeholders.

Nice To Haves

Working knowledge of financial markets and investment concepts (e.g., portfolio construction, asset allocation, risk management) is a plus, but not required.

Responsibilities

Work with portfolio management, research, and business development teams to identify opportunities where AI can enhance alpha generation, portfolio construction, risk management, predictive analytics, and client-facing workflows.
Translate ambiguous investment problems into well-scoped technical solutions, accounting for real-world constraints, edge cases, and data limitations.
Work with central AI and engineering teams to productionize models and deploy them into investment workflows.
Help drive adoption of AI tools by communicating results clearly and enabling investment teams to use what you build.
Contribute to defining and articulating a firm-wide AI strategy for investment management, including identifying high-impact use cases, establishing best practices, and driving adoption across teams.

Benefits

Annual discretionary bonus
401(k) plan with a generous match
Recognition rewards
Comprehensive benefits package
Competitive healthcare options
Insurance
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)
Motivational well-being program
Three weeks of PTO in your first year
Competitive medical, dental, and vision insurance
401(k) plan with an 85% company match on pre-tax and/or Roth contributions, up to IRS limits
Employee Stock Investment Plan (ESIP) with discounted share purchase opportunities
Learning Education Assistance Program (LEAP)
Opportunity to purchase company funds with no sales charge