At Franklin Templeton, everything we do is focused on one thing – delivering better client outcomes. We do that by partnering closely with our clients, assessing their strategic needs, and identifying the solution or solutions that can meet the challenge. Over 9,500 employees working in 30 countries around the world are dedicated to servicing investment solutions for our clients in more than 155 countries. For more than 75 years our success has been a direct result of the talent, skills and persistence of our people, and we are looking for qualified candidates to join our team.

This is a Product & Solution development role that requires deep expertise in Optimization techniques, Advanced Math and requires hands-on expertise in Python programming as an Object-Oriented Programming language, a passion for Research, ability to understand underlying mathematical and stochastic models and an understanding of APIs used in SaaS Product development. The role would look at advancing the algorithm and create new investment product variants centered around usage of Dynamic Programming models and AI/ML algorithms such as Reinforcement Learning and Neural networks against a stochastic framework. The developed algorithm (code) would go into creating new capabilities for a B2B2C wealthtech product offered via SaaS, on-premise or offline modes. Additionally, the role would also have the potential to work on Generative AI and LLM models and other AI/ML frameworks to solve for specific business problems.

What is the “Digital & AI/ML Engineer” in the FTT AI & Digital Transformation group responsible for?

• The FTT AI & Digital Transformation group is a newly established team within Franklin Templeton Technologies, the Technology function within Franklin Templeton Investments. 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, HR functions among others in a responsible and appropriate manner. The possibilities are limitless here and this would be a fantastic opportunity for self-motivated and driven professionals to make significant contributions to the organization and to themselves.

What are the ongoing responsibilities of an Digital & AI/ML Engineer (P2)?

Product Design, Product Development, AI/ML Engineering (90%)

Core:

• Ability to contribute with guidance towards developing various code modules of a SaaS product brought to market via various deployment modes.
• Ability to learn quickly concepts in advanced mathematical finance and be able to contribute effectively.
• Adhere to product development best practices and to Object Oriented Programming methodology.
• Expertise in Python as a programming language (not for its libraries)
• Understanding of Dynamic Programming methodology and Reinforcement learning techniques including Deep learning, Q learning and neural networks are a definite plus.
• A good understanding of working with APIs, constructing request and response payloads and working with json files in general.
• Familiarity with working on cloud platforms such as Amazon AWS and Data platforms such as Databricks and SnowFlake

Tactical:

• Ability to work effectively under supervision and develop product modules exactly to design specifications.
• To design, develop, test and document the product features or capabilities developed to standards.
• To provide rapid fixes to any bugs/issues identified in the product or deployments.
• Ability to design complex algorithmic elements that is required to work in tandem with other code modules.
• Demonstrate structured thinking and exceptional problem-solving abilities.

Release Management, Presentations, Continuous improvement, Contributing to research: (10%)

• Actively participate in Release discussions, prioritizations, status reporting
• Ability to create well-articulated presentations to explain the work
• Help and collaborate with the research team with ideas, algorithmic inputs, back-testing, proof of concepts and pseudo code where necessary

Education:

• Bachelors and Master’s degree in Engineering/Technology/Mathematics/Statistics/related disciplines from Tier 1 universities/institutes in India or abroad.
• Relevant industry certifications such as CFA, CQF will be looked at favorably

Experience Core Skills:

• 1-4 years of experience in product development or core programming roles.
• Should have worked in SaaS products using Python as a programming language
• Exceptionally good mathematical skills.
• Excellent Team player and demonstrate the ability to work in ambiguity and thrive in chaos.
• Self motivated and driven with a heightened sense of ownership and accountability

Experience Soft Skills:

• Proven ability to take initiative and work under pressure in a changing/growing environment.
• A passion to keep oneself abreast of the latest technological advancements and suggest ways to improve ways of working.
• Exceptional decision-making skills: Ability to prioritize across needs given limited resources
• Thrives in a startup like environment: loves dealing with fast pace and changing needs
• Ability to create relationships both inside and outside of the Product organization
• Excellent story telling/articulation skills along with the capacity to dive into minute details.
• Superlative communication and consensus building skills.

Job Level - Entry Level

Work Shift Timings - 2:00 PM - 11:00 PM IST

What makes Franklin Templeton Investments unique? 

In addition to the dynamic and professional environment at Franklin Templeton, we strive to ensure that our employees have access to a competitive and valuable set of Total Rewards—the mix of both monetary and non-monetary rewards provided to you in recognition for your time, talents, efforts, and results.

Highlights of our benefits include:  

• Professional development growth opportunities through in-house classes and over 150 Web-based training courses
• An educational assistance program to financially help employees seeking continuing education
• Medical, Life and Personal Accident Insurance benefit for employees. Medical insurance also cover employee’s dependents (spouses, children and dependent parents)
• Life insurance for protection of employees’ families
• Personal accident insurance for protection of employees and their families
• Personal loan assistance
• Employee Stock Investment Plan (ESIP)

“Location specific benefits” as mentioned below

• Onsite fitness center, recreation center, and cafeteria
• Cricket grounds and gymnasium
• Library
• Health Center with doctor availability
• HDFC ATM on the campus

Franklin Templeton Investments is an Equal Opportunity Employer. We invite you to visit us at Franklin Templeton Careers to learn more about our company and our career opportunities.

Franklin Templeton is committed to fostering a diverse and inclusive environment. If you believe that you need a workplace arrangement to search for, or apply for, one of our positions please send an email to accommodations@franklintempleton.com . In your email, please include the arrangement you are requesting and the job title and job number you are applying for. We will review the request and make a best effort to enact the arrangement. It may take up to three business days to receive a response to your request. Please note that only requests for arrangements will receive a response.