At Franklin Templeton, we believe success is built through powerful partnerships. As a forward thinking asset manager, we build dynamic relationships with clients, understand their goals, and navigate complex markets together. We leverage cutting edge strategies and deep insights to unlock opportunities for long term wealth creation. Our talented, global teams bring expertise that is both broad and unique.



From our welcoming, inclusive, and supportive culture to our globally diverse business, we offer opportunities not only to help you reach your potential, but also to contribute to our clients' success.




About our Team:



The Quantitative Insurance Solutions team is part of Franklin Templeton Investment Solutions and partners with insurance and institutional clients around the world to solve complex investment challenges.



We work closely with portfolio managers, risk professionals, client teams, and quantitative specialists to develop analytical insights, portfolio solutions, and investment strategies. Our work combines quantitative research, portfolio analytics, optimization techniques, and custom modelling to support informed investment decisions.



This is a highly collaborative and innovative environment where curiosity, initiative, and problem-solving are valued. Joining the team offers an opportunity to work on complex analytical challenges, partner with experts across global markets, and contribute to the development of next-generation investment solutions




How You Will Add Value

• You will develop quantitative models and analytical tools.


• You will perform simulations, optimization analyses, and portfolio analytics.


• You will support asset allocation and portfolio construction projects.


• You will investigate and resolve complex analytical issues.


• You will improve existing processes through automation and scalable solutions.


• You will develop customized analytical solutions based on client needs.


• You will evaluate quantitative methodologies and recommend enhancements.


• You will analyze, test, and improve data, models, and workflows.


• You will collaborate with portfolio management, risk, and client-facing teams.


• You will communicate analytical findings to technical and non-technical stakeholders.


• You will work with proprietary and third-party analytical platforms.


• You will contribute to innovation and continuous improvement initiatives across the team.

What Will Help You Be Successful in This Role



Experience, Education & Certifications

• Master's degree in Physics, Mathematics, Financial Engineering, Quantitative Finance, Statistics, Data Science, Computer Science, or a related quantitative discipline.


• Approximately 5-10 years of relevant professional experience.


• Experience in quantitative analysis, modelling, investments, risk management, insurance, research, or similar analytical environments.


• PhD or academic research experience is considered an advantage.


• Exposure to fixed income markets is beneficial but not required.

Technical Skills

• Strong Python programming skills.


• Strong SQL skills.


• Experience building quantitative models and analytical solutions.


• Knowledge of optimization, simulation, or statistical techniques.


• Experience working with financial, market, or risk-related data.


• Experience with Aladdin, Bloomberg, Yield Book, POINT, or similar analytical platforms is a plus.


• Exposure to machine learning techniques is beneficial.

Soft Skills

• Strong analytical and problem-solving capabilities.


• Curious and innovative mindset.


• Ability to communicate complex concepts clearly and effectively.


• Strong collaboration and teamwork skills.


• Self-motivated and proactive approach.


• Ability to work effectively in a global environment.


• Strong stakeholder management and relationship-building skills.

Franklin Templeton is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all applicants and employees, and we evaluate qualified applicants without regard to ancestry, age, color, disability, genetic information, gender, gender identity, or gender expression, marital status, medical condition, military or veteran status, national origin, race, religion, sex, sexual orientation, and any other basis protected by federal, state, or local law, ordinance, or regulation.