Hybrid Insurance Quantitative Solutions Analyst

Franklin Templeton; Pasadena (CA); Hybrid; USD 150,000 - 200,000; Full time

Benefits offered by this job

Paid Time Off

Health Coverage

401(k) plan

ESIP

LEAP

Employee Investment Benefits

Job summary

Franklin Templeton in Pasadena, CA is seeking a Quantitative Insurance Solutions Analyst to join the Investment Solutions team. You will apply quantitative analyses, develop tools, and collaborate with risk, portfolio management, and client service to deliver bespoke insurance and pension solutions.

The role requires a Master’s degree in a quantitative field and 3-5 years of relevant experience, with strong Excel/VBA, SQL, Python or R skills, and familiarity with RMBS/CMBS/ABS/CLO.

Qualifications

• Master’s Degree in a quantitative field such as Mathematical Finance or similar.
• 3–5 years of related work experience.
• Strong empirical, analytic and technical skills.
• Experience with RMBS/CMBS/ABS/CLO as a quantitative analyst.
• Proficiency with MS Excel/VBA, SQL, SAS, Python, R or similar.
• Strong verbal and written communication skills.

Responsibilities

• Utilize quantitative analyses including optimization, simulation, and other proprietary tools to contribute to asset allocation studies and portfolio construction/hedging.
• Develop and improve the production engine for client accounts and model portfolios.
• Perform simulations and optimizations to support client needs and address issues promptly.
• Collaborate with client service, portfolio management, and risk management to disseminate analyses.

Skills

Quantitative analysis

MS Excel/VBA

SQL

SAS

Python

R

Machine Learning

Teamwork

Verbal & written comms

Education

Master’s Degree in a quantitative field

Tools

Yield Book

POINT

Bloomberg PORT

Job description

Franklin Templeton in Pasadena, CA is seeking a Quantitative Insurance Solutions Analyst to join the Investment Solutions team. You will apply quantitative analyses, develop tools, and collaborate with risk, portfolio management, and client service to deliver bespoke insurance and pension solutions.

The role requires a Master’s degree in a quantitative field and 3-5 years of relevant experience, with strong Excel/VBA, SQL, Python or R skills, and familiarity with RMBS/CMBS/ABS/CLO.