Sr. Investment Risk Analyst - WAM

Franklin Templeton; Pasadena (CA); Hybrid; USD 160,000 - 165,000; Full time

Benefits offered by this job

Three weeks PTO

Competitive health coverage

401(k) with generous match

Employee Stock Investment Plan (ESIP)

LEAP education assistance

Employee investment benefits

Job summary

Franklin Templeton, a leading asset manager, seeks a senior quantitative risk professional in our Pasadena office. You will develop models for risk analytics, validate methodologies, and work with risk managers and portfolio teams on complex fixed-income analytics including MBS and securitized products.

You will leverage Python, Monte Carlo methods, and tools like Aladdin/Bloomberg/Yield Book to deliver robust insights and communicate findings to senior stakeholders.

Qualifications

• 5+ years of experience in quantitative model development, validation, risk analytics, or investment analytics.
• Advanced degree in a quantitative discipline; Master’s or Ph.D. preferred.
• Deep knowledge of fixed income analytics, including mortgage-backed securities and securitized products.
• Strong understanding of derivatives, prepayment behavior, interest-rate risk, credit risk.
• Proficiency in quantitative modeling techniques including Monte Carlo simulation and time-series analysis.
• Advanced Python programming skills; knowledge of VBA, SQL, or similar tools.
• Experience with investment and risk analytics platforms such as Aladdin, Bloomberg, Yield Book is preferred.

Responsibilities

• Support single-security analytics across asset classes with emphasis on fixed income, securitized products, and MBS.
• Develop and enhance quantitative models for risk measurement, scenario analysis, and risk-factor attribution.
• Analyze risk exposures to help evaluate investment decisions and risk trade-offs.
• Maintain and validate risk methodologies for robustness, transparency, and consistency.
• Improve risk tools, workflows, and reporting for accuracy and efficiency.
• Collaborate with risk managers, portfolio managers, researchers, and tech teams to translate analytics into portfolio insights.
• Contribute to model enhancements, analytics validation, portfolio reviews, and risk infrastructure initiatives.
• Communicate complex risk findings clearly to senior stakeholders via written analysis and presentations.

Skills

Python programming

Monte Carlo

Time-series analysis

Risk analytics

Communication

Causal inference

Education

Master's degree or PhD in quantitative field

Advanced degree in quantitative discipline

Tools

Aladdin

Bloomberg

Yield Book

SQL

VBA

Job description

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.

HYBRID schedule of 4 days per week in our Pasadena office

About The Department

The Quantitative Risk Analytics team strengthens the firm’s investment process by developing, validating, and applying quantitative models that measure portfolio risk across asset classes. The team partners with risk managers, portfolio managers, client service, and technology teams to deliver reliable insights supporting investment decisions, client communication, and firm-wide risk oversight. This role offers the opportunity to work on sophisticated analytics and high-impact risk initiatives in a collaborative environment that values technical depth, judgment, and clear communication.

How You Will Add Value

• You will support single-security analytics across asset classes, with an emphasis on fixed income, securitized products, and mortgage-backed securities.
• You will develop and enhance quantitative models for single-security analytics, portfolio risk measurement, scenario analysis, and risk-factor attribution.
• You will analyze risk exposures and sensitivities to help risk managers and portfolio managers evaluate investment decisions and risk trade-offs.
• You will maintain and validate risk methodologies to improve model robustness, transparency, and consistency across portfolios.
• You will improve risk tools, workflows, and reporting to increase accuracy, scalability, and efficiency.
• You will partner with risk managers, portfolio managers, quantitative researchers, technology teams, and client-facing colleagues to translate analytics into practical portfolio insights.
• You will contribute quantitative expertise to model enhancements, analytics validation, portfolio reviews, and risk infrastructure initiatives.
• You will communicate complex risk findings clearly to senior stakeholders through written analysis, presentations, and data-driven recommendations.

What Will Help You Be Successful In This Role

Experience, Education & Certifications

• 5+ years of experience in quantitative model development, model validation, risk analytics, or investment analytics.
• Advanced degree in a Quantitative discipline; Master’s degree or Ph.D. preferred.
• Deep knowledge of fixed income analytics, including mortgage-backed securities, securitized products, structured products, or related instruments.
• Strong understanding of derivatives, prepayment behavior, interest-rate risk, credit risk, and other fixed income risk drivers.
• Strong understanding of quantitative modeling techniques, including Monte Carlo simulation, time-series and statistical modeling, and scenario analysis.
• Advanced Python programming skills; knowledge of VBA, SQL, or other data analysis and automation tools.
• Experience with investment and risk analytics platforms such as Aladdin, Bloomberg, Yield Book, or comparable systems is preferred.

Applicants for employment must have work authorization that does not now, or in the future, require sponsorship of a visa for employment in the United States.

Franklin Templeton offers employees a competitive and valuable range of total rewards - monetary and non-monetary - designed to support their well-being and recognize their time, talents, and results. Along with base compensation, employees are eligible for an annual discretionary bonus, a 401(k) plan with a generous match, and recognition rewards. We also offer a comprehensive benefits package, which includes a range of competitive healthcare options, insurance, and disability benefits, employee stock investment program, learning resources, career development programs, reimbursement for certain education expenses, paid time off (vacation / holidays / sick / leave / parental & caregiving leave / bereavement / volunteering / floating holidays) and a motivational wellbeing program. We expect the annual salary for this position to range between $160,000.00 - $165,000.00, depending on location and level of relevant experience, plus discretionary bonus.

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, and 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.

Artificial intelligence or automated tools may be used to assist in the screening, assessment, or selection of applicants for this position.