Quantitative Insurance Solutions Analyst

Franklin Templeton • Pasadena, CA

3d • $150,000 - $200,000 • Hybrid

About The Position

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.

Requirements

• 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.

Nice To Haves

• Knowledge and experience in Machine Learning (ML) a plus.

Responsibilities

• 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.

Benefits

• Discretionary bonus
• 401k plan
• Health insurance
• Other perks
• Three weeks of PTO in your first year
• Competitive medical, dental, and vision insurance
• 401(k) plan with an 85% company match on pre-tax and/or Roth contributions, up to IRS limits
• Employee Stock Investment Plan (ESIP) with discounted share purchase opportunities
• Learning Education Assistance Program (LEAP)
• Opportunity to purchase company funds with no sales charge

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level