What is the Director - Research Scientist AI & Optimization responsible for?
The core mandate of this role is to bring innovative digital investment products and solutions to market, leveraging a patented and innovative digital WealthTech / FinTech product - Goals Optimization Engine (GOE) - built with several years of academic research in mathematical optimization, probability theory and AI techniques at its core.
The mandate also extends to leveraging cutting edge AI, such as Generative AI, in addition to Reactive AI to create value within various business functions within Franklin Templeton such as Investment Solutions, Portfolio Management, Sales & Distribution, Marketing, and HR functions, among others, in a responsible and appropriate manner.
The possibilities are limitless here and present a fantastic opportunity for a self-motivated and driven professional to make significant contributions to the organization and to are the ongoing responsibilities of a Director - Research Scientist AI & Optimization?
As a Principal Research Scientist - AI and Optimization, you will play a pivotal role in driving innovation, product research, and proof of concepts for our AI research and Goals Optimization Engine (GOE) product roadmap.
You will be responsible for mentoring and guiding a team of highly motivated research scientists, creating intellectual property, and ensuring successful client deployments and product Responsibilities :
Innovation, Product Research, Proof of Concepts, Pseudocode & Design (40%) :
- Lead and contribute to the multi-year Goals Optimization Engine (GOE) product roadmap, conceptualizing fitment against various industry use cases, creating product variants, and designing
new features and enhancements across multiple distribution lines and geographies
Mentor and guide a team of research scientists to achieve common objectivesServe as the Subject Matter Expert (SME) for a specific domain within AI and / or Optimization, acting as the go-to person for all internal stakeholdersDevelop pseudocode and working prototypes in a Python environment, collaborating closely with Product Managers and Product DevelopersCreate well-articulated design documents and presentations to explain research to internal and external stakeholders, including clients and partners located globallyLead industry research and evaluate partnerships with third-party vendors and specialized service providers where appropriateMaintain a thorough understanding of boundary conditions, regulatory environments, data challenges, technology integrations, algorithmic dependencies, and operational process nuances to ensure nothing slips through the cracksStay up to date with the latest developments in the Investment Management industry, Financial Mathematics, Portfolio Construction, and Portfolio ManagementIP Creation, Paper Writing, and Thought Leadership (30%) :
Conceptualize and produce high-quality intellectual property for publication in top-tier academic and practitioner journalsPeer-review the work of other research scientists and improve the outcome of their research outputCreate patent-worthy intellectual content, apply for patents, and win themTake responsibility for winning industry awards for exceptional product research and innovative work productsStay informed about the latest industry research and evaluate it objectively and in an unbiased mannerPublish research works for conferencesClient Deployment, Product Development, and Vendor Due Diligence (30%) :
Act as the SME in initial client deployment discussions, showcasing the rigor of research, explaining the product or solution concept, and engaging in discussions with similar individuals / teams from the client / partner sideContribute to product development by ensuring alignment with research and designProvide hands-on support where required to complete time-critical work successfullyEngage with third-party vendors and potential integration partners to understand their capabilities, methodologies, and algorithms, and perform rigorous due diligence to make clear recommendations on Go / No-Go ideal qualifications, skills & experience would help someone to be :Bachelor's and master's degree in STEM disciplines; a PhD in a relevant discipline (Optimization,
Probability, Quant Finance, AI & ML, Computational Mathematics, Statistics, etc.) would be a +
Relevant industry - Core Skills :
10+ years of applied R &D experience in research departments of reputed organizations post-Masters or PhDTrack record of real innovation generating impact is essentialDemonstrated ability to create intellectual content, publish papers, and obtain patentsAbility to effectively bridge the gap between academia and practice, ensuring research is practical and implementableStructured thinking and exceptional mathematical skillsExcellent team player with the ability to work with ambiguity and thrive in chaosFamiliarity with ML / DL / DRL, NLP, especially Large Language Models, dynamic programming, and / or convex optimizationSolid experience with AWS and / or AzureFamiliar with Python, PySpark, SQL, Hadoop, - Other Soft Skills :Proven ability to take initiative and work under pressure in a changing, fast paced environmentExceptional decision-making skills, with the ability to prioritize across needs given limited resourcesThrives in a startup-like environment : loves dealing with a fast pace and changing needsAbility to build relationships both inside and outside of the product organizationAbility to narrate a story for a problem along with the capacity to dive into minute detailsSuperlative communication and consensus-building skillsWork Shift Timings - 2 : 00 PM - 11 : 00 PM IST
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