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.
Team & Role OverviewAbout 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 ValueUtilize 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.
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.
Hybrid work schedule
Work Location: Pasadena, CA
Compensation Range: Along with base compensation, other compensation is offered such as a discretionary bonus, 401k plan, health insurance, and other perks. There are several factors taken into consideration in making compensation decisions including but not limited to location, job-related knowledge, skills, and experience. At Franklin Templeton, we apply a total reward philosophy where all aspects of compensation and benefits are taken into consideration in determining compensation. The salary, benefits and variable rewards will reflect the seniority of the position and a competitive market rate. We expect the annual salary for this position to range between $150,000 to $200,000 in addition to a competitive bonus.
When applying, please be sure to attach your resume / CV. Applications without a resume file attachment will not be reviewed.
Staffing Agency Disclaimer: Please note that we are not engaging staffing agencies or external recruiters for this position. Any unsolicited resumes or candidate profiles submitted to the company or any employee will be considered the property of the company. We will not be responsible for any fees or charges associated with unsolicited submissions, and no agency or search fees will be paid.
#MID_SENIOR_LEVEL
#LI-Hybrid
At Franklin Templeton, we believe your benefits should support your life, your goals, and your future. That’s why we offer a comprehensive Total Rewards package designed to help you thrive both personally and professionally.
Highlights of our benefits include:
- Paid Time Off: Three weeks of PTO in your first year
- Health Coverage: Competitive medical, dental, and vision insurance to support your well-being
- Retirement Savings: 401(k) plan with an 85% company match on pre-tax and/or Roth contributions, up to IRS limits
- Equity & Investing: Employee Stock Investment Plan (ESIP) with discounted share purchase opportunities
- Learning Education Assistance Program (LEAP): To support your ongoing growth and career advancement
- Employee Investment Benefits: Opportunity to purchase company funds with no sales charge
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.
Skills Required
- Master's degree in a quantitative field (e.g., Mathematical Finance)
- 3-5 years of related work experience
- Experience analyzing fixed income instruments (RMBS, CMBS, ABS, CLO)
- Experience with third-party analytic and risk systems such as Yield Book, POINT, Bloomberg PORT
- Technical proficiency with MS Excel and VBA
- Proficiency in SQL
- Proficiency in SAS
- Proficiency in Python
- Proficiency in R
- Strong empirical, analytic and technical skills
- Strong teamwork skills
- Strong verbal and written communication skills
- Knowledge and experience in Machine Learning
Franklin Templeton Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Franklin Templeton and has not been reviewed or approved by Franklin Templeton.
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Retirement Support — Retirement programs, including a notably strong 401(k) match and access to an employee stock purchase option, are positioned as key strengths. These features are described as meaningful contributors to total compensation.
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Leave & Time Off Breadth — Flexible work arrangements, paid volunteer time, and a defined paid parental leave minimum support strong work–life balance. Time-off breadth is frequently highlighted as a bright spot in the overall package.
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Strong & Reliable Incentives — A bonus structure that pays out regularly and a pay-for-performance philosophy add meaningful upside to cash compensation. Incentives can be particularly impactful in certain functions and levels.
Franklin Templeton Insights
What We Do
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