Head Of Ai Products

Franklin Templeton

Base: $266,000 - $300,000; bonus: annual discretio...
Hybrid (3 days in the office)
8-15 years experience in investment domain
Strong foundation in computer science and machine learning
Proficiency in python or scala programming languages
Franklin Templeton is seeking a Head of AI Products, a leadership role that focuses on developing AI-driven investment solutions. The ideal candidate will have a strong background in AI, machine learning, and quantitative finance, with the ability to collaborate across teams to implement innovative strategies

Job Summary

  • The role sits at the intersection of AI, Product Management, and Investment Management to translate advanced technologies into scalable capabilities.
  • Candidates will work closely with AI Research, AI Platform, and investment teams to bring rigor and execution discipline to product development.
  • Franklin Templeton offers a competitive salary range between $266,000 and $300,000 plus an annual discretionary bonus and comprehensive benefits.

Matching Summary

Match Score: 85

Franklin Templeton is seeking a Head of AI Products, a leadership role that focuses on developing AI-driven investment solutions. The ideal candidate will have a strong background in AI, machine learning, and quantitative finance, with the ability to collaborate across teams to implement innovative strategies.

Salary

Base: $266,000 - $300,000; Bonus: Annual discretionary bonus; Benefits: 401(k) match up to IRS limits, healthcare, stock investment program

Skills & Requirements

Must-have

  • 8-15 years experience in investment domain
  • Strong foundation in computer science and machine learning
  • Proficiency in Python or Scala programming languages

Nice-to-have

  • Functional programming background in Clojure or Haskell
  • Experience with design thinking and systems thinking
  • Familiarity with ETFs, UCITS, and structured solutions

Key Requirements

  • 8-15 years of relevant professional experience
  • Strong academic background in Computer Science or Quantitative Finance
  • Hands-on experience with machine learning techniques and data modeling

Work Rights

Not specified

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