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Quantitative Insurance Solutions Analyst
mid · Data Science & Analytics
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:
Within Franklin Templeton Investment Solutions, the Quantitative Insurance Solutions team leverages the firm’s intellectual capital and resources globally to serve our clients. We work closely with the Client Service and Investment Management teams to provide investment insights and craft bespoke portfolio solutions. We cover all regions globally and all client channels, with an emphasis on insurance and pensions.
Our team partners with clients to help them address their unique investment needs. Areas of focus include regulatory capital, asset allocation, asset-liability matching, liability-driven investing, portfolio construction and optimization, tail risk hedging, and portfolio analytics.
The Quantitative Insurance Solutions Analyst will bring exceptional quantitative reasoning, financial and analytical skills along with a passion for serving our clients. This is a highly collaborative, collegiate department where self-motivation is vital, and shared problem-solving and learning is supported. We encourage initiative and innovation when it comes to developing new systems and methodologies to improve our custom solutions. At the same time, we depend on building strong relationships with other teams, and value a diplomatic approach to addressing issues around portfolio performance and risk.
How You Will Add Value
Utilize quantitative analyses including optimization, simulation, and other proprietary tools and models to contribute to asset allocation studies, and portfolio construction/hedging processes.
Deep dive into issues for effective resolution.
Develop and improve the team’s production engine that runs standard and customized processes and reports for client accounts and model portfolios.
Perform simulations and optimizations to support our existing and prospective clients with their needs
Follow up with data owners, developers, and modelers to resolve issues in a timely fashion.
Identify opportunities to enhance the accuracy, efficiency and scalability of analyses and participate in the implementation of automated solutions.
Analyze the trade-offs between proprietary solutions and off-the-shelf available models, including cost effectiveness and best risk factor structure for the Firm’s Client Solutions Toolkit, and advise senior management of the best path to follow to better service our clients.
Analyze, specify and test enhancements to data, models and processes to drive continuous improvement.
Develop customized analytical tools to perform quantitative analyses based on the needs of clients and prospective clients.
Work closely with other divisions of the Firm including client service, portfolio management, and risk management to accurately disseminate and explain analyses to acquire, inform, and retain clients.
Interface with several of the firm’s major proprietary and vendor related systems and applications.
What Will Help You Be Successful in This Role
Experience, Education & Certifications
A Master’s Degree in a quantitative field such as Mathematical Finance or similar, in addition to 3-5 years of related work experience.
Working knowledge and experience analyzing fixed income instruments with an emphasis on RMBS, CMBS, ABS, and CLO, through work as a quantitative analyst.
Strong empirical, analytic and technical skills.
Strong teamwork skills.
Experience with third party analytic and risk systems such as Yield Book, POINT, Bloomberg PORT, etc.
Demonstrated technical acumen with MS Excel/VBA, SQL, SAS, Python, R, or other software applications/languages.
Strong verbal and written communication skills.
Knowledge and experience in Machine Learning (ML) a plus.
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.