
Lead Research Scientist – AI & Optimization
Franklin Templeton Investments seeks an experienced Lead Research Scientist – AI & Optimization with a passion for data and a commitment to driving innovation in the financial sector. This individual must possess outstanding expertise in the fields of Artificial Intelligence, Machine Learning, and Optimization, with a proven track record of developing and implementing successful AI/ML-based solutions. The ideal candidate will have a deep understanding of the financial industry and the ability to lead a research team in order to drive the development of new solutions for the optimization of our investments. The successful applicant will possess a PhD in Computer Science, Machine Learning, Information Systems, Data Science, Math, or a related field, as well as at least 5 years of experience in a research and/or development role in the financial industry. In addition, they should have demonstrated experience in the development and deployment of AI/ML-based solutions, as well as the ability to lead and manage a research team. The Lead Research Scientist – AI & Optimization must be highly organized, analytical, and have excellent communication and interpersonal skills.
Responsibilities:
- Research, develop, and implement AI/ML-based solutions to optimize investments.
- Lead and manage a research team.
- Utilize a deep understanding of the financial industry to inform research decisions.
- Analyze and interpret data to develop insights and strategies.
- Stay current on the latest technology and industry trends.
- Present research findings to senior leadership.
- Collaborate with other teams and departments to ensure successful execution of initiatives.
- Manage research projects of varying scope and complexity.
- Facilitate communication between research team members and other stakeholders.
- Ensure research projects are completed on time and within budget.
Phd In Computer Science
Mathematics
Or Related Field
Advanced Knowledge Of Artificial Intelligence
Machine Learning
And Optimization Techniques
Proven Experience Leading A Research Team And Developing Innovative Solutions
Expertise In Developing Algorithms And Software For Advanced Analytics
Ability To Identify And Leverage Data Sources To Drive Insights
Ability To Communicate Research Results To Stakeholders
Demonstrated History Of Success In Data-Driven Projects
Research
Programming
Data Analysis
Communication
statistical analysis
Algorithms
Machine Learning
Technical Writing
Automation
Data Mining
Optimization
Modeling
Problem-Solving
AI
Experimentation
Communication
Leadership
Time management
Interpersonal Skills
creativity
Organization
Critical thinking
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Lead Research Scientist – AI & Optimization in New York, NY, USA is $154,929 to $190,000 per year. This range may vary according to the company, the experience level of the individual, and the industry they are employed in.
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Franklin Resources, Inc. is a holding company, which engages in the provision of financial and investment management operations. It offers fund administration, sales, distribution, marketing, shareholder servicing, trustee, custody, and fiduciary services.

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