At Franklin Templeton were advancing our industry forward by developing new and innovative ways to help our clients achieve their investment goals. Our dynamic firm spans asset management wealth management and fintech offering many ways to help investors make progress toward their goals. Our talented teams working around the globe bring expertise thats both broad and unique. From our welcoming inclusive and flexible culture to our global and diverse business we provide opportunities to help you reach your potential while helping our clients reach theirs.

Come join us in delivering better outcomes for our clients around the world!

Franklin Templeton is seeking aVice President AI Productsto drive the development and delivery of AI-powered solutions across our investment platform. This role sits at the intersection ofAI ProductManagementandtheInvestment Management domaintranslating advancedtechnologies andresearch into scalable production-grade capabilities.

The ideal candidate bringsa strong foundationincomputer science machine learning and quantitative finance along with deep familiarity withinvestment strategies portfolio construction and financial markets. This individual will work closely withAI Research AI Platform and investment teamsto bring rigor structure and execution discipline to AI product development.

This is ahands-on leadership roleowning product strategy and execution while actively engaging in problem-solving model interpretation and delivery.

Key Responsibilities

AI Product Development & Execution

• Lead end-to-end development of AI-driven investment andother domains ofanalytics products from concept through deployment

• Translateinvestmentresearch and ML models into scalable user-facing tools and workflows

• Apply strongproduct management rigordefining use cases success metrics experimentation frameworks and feedback loops

Partnership with AI Research & Platform

• Collaborate closely withAI Research teamstoidentifykey hard problems that are central to AI increasing firm competitivenessbeyond includes formulation of experiments and specification of the metrics that define success for those experiments.

• Further Partner with AI research teams to incorporate the positive results of those experiments back into value delivering product work and to articulate how the capabilities leveraged differentiate FT and contribute to step change in the health of ourbusinesses.

• PartnerwithAI Platform teamsto ensure robust data pipelines model deployment and monitoring frameworksensuring that solutions are robust scalable and durable.

• Form and manage cross-functional working groups from within FTT-AI to deliver value:Ensure that engineers scientists trainers product managers and working together towards common goalswith deep alignment and understanding of their own andeach othersscopes.

• Navigate the spectrum betweenresearch prototypes and enterprise-gradesolutionsas engagements evolve and mature.

Investment Domain Integration

• Work withbusiness leadersinvestmentteamsand technology partner teamstoidentifyopportunities where AI can enhance:

• Alpha generation and signal development

• Portfolio construction and risk management

• Client analytics and product innovation

• Ensure solutions are grounded inreal-world investment workflows and constraints

• Establish performance and improvement metrics for measuring and increasing impact and attribution of system and culture improvement as AI solutions are tested and scaled.

Cross-Functional Leadership

• Drive multiple AI and technology teams to common AI product features

• Drive alignment on priorities timelines and measurable outcomes

• Communicate complex AI/quant concepts clearly to both technical and non-technical stakeholders

Product Strategy & Governance

• Contribute to the broader AI product roadmap aligned with business objectives

• Ensure adherence tomodel governance explainability and risk frameworksappropriate forfinancial services

• Promote best practices inresponsible and transparent AI usage

Qualifications

Technical & Quantitative Expertise

• Strong academic background in Computer Science AI/ML Quantitative Finance or relatedfield.

• 815 years of experience acrossinvestment domain AI/ML or financial technology

• Hands-on experience withmachine learning techniques and data-driven modeling

• Proficiencyinat least one modern programming language (Python Scala etc.).Preference fora functional programming background (Clojure Haskell etc.)

Investment Experience

• Deepunderstanding ofkey areas of investment management withhands onexperience ofmultiple functions within asset management is preferred.

• Familiarity with institutional and/or retail investment products (ETFs UCITS structured solutions)

Product & Execution Mindset

• Experience with the frameworks used by modern product-focused technology and fintech thinking systems thinking formal user research etc. Anability to communicate these disciplines to new audiences and create a product culture both within and outside the AI product group.

• Demonstrated ability to translate research into production-ready solutions

• Strong analytical thinking with the ability tooperatein ambiguous fast-moving environments

• Experience working cross-functionally with engineering research and business stakeholders

Key Competencies

• Ability to synthesize complex quantitative insights into actionable outcomes

• Strong collaboration and stakeholder management skills

• Strong ability and desire to teach the product mindset to engineersscientistsand investment professionals

• Clear communicator capable of engaging both technical teams and senior business leaders

• Detail-oriented with a high standard for rigor and quality

• Entrepreneurial mindset with a focus on delivering measurable impact

This hybrid position requires working in the office three days a week.

Franklin Templeton offers employees a competitive and valuable range of total rewardsmonetary and non-monetary designed to support their well-being and recognize their time talents and 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 $266000- $300000 depending on location and level of relevant experience plusdiscretionarybonus.

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