Portfolio Construction Analyst; Fixed Income & Portfolio Risk Analysis

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.

FTFI Brandywine Fixed Income is a Philadelphia-based fixed income investment team managing $42 billion in assets across US and global fixed income portfolios in both long only and long-short strategies.

We are seeking a highly analytical and intellectually curious Portfolio Construction Analyst to advance our fixed income portfolio construction and research capabilities. This role will partner closely with portfolio management, portfolio implementation, performance/risk, and client service teams to enhance the existing portfolio construction framework aligned with our investment philosophy and style.

• Develop and enhance portfolio construction and risk management frameworks consistent with the fixed income team's investment philosophy.
• Develop and maintain market and macroeconomic risk factor frameworks used to assess portfolio exposures.
• Analyze position risk on both standalone and portfolio-context settings.

• Conduct ongoing research on volatility forecasting and correlation dynamics.
• Develop optimization tools to better express portfolio managers' key market views.
• Identify and analyze market and risk regimes, including periods where strategies historically outperform or underperform.
• Evaluate how different risk measures behave across varying market environments.
• Research and improve downside risk management approaches, including position sizing and loss mitigation frameworks.

• Investigate key portfolio construction questions, including:
• Which risk measures matter most in different environments?
• When are tracking error metrics informative or unstable?
• How should historical versus forward-looking risk measures be balanced?
• What implicit assumptions in the investment process should be challenged?
• Develop research-driven insights that improve decision-making and portfolio resilience.

• Build scalable frameworks to implement flagship investment ideas within more constrained or customized client portfolios.
• Partner with client service and implementation teams to improve portfolio guidelines and support client-specific solutions through rigorous analysis.

• Analyze what options markets are implying across asset classes and macro environments.
• Identify derivative strategies to better express investment views and manage risk.

• Track and evaluate entry and exit points of key trades to assess performance and risk outcomes.
• Reconcile portfolio results with third-party performance attribution systems.
• Develop reporting and analytical materials for investment team and firm-wide presentations.

• Lead periodic portfolio and risk reviews for the investment team.
• Present risk research and market insights during investment meetings.
• Coordinate cross-functionally with portfolio implementation, performance, and client service teams.
• Contribute to investment reporting materials and strategic discussions.

• Evaluate and implement AI-driven tools and techniques to enhance the investment research and risk analysis framework.
• Identify opportunities to improve efficiency, scalability, and analytical depth through technology.

• Requires 3-7 years of experience in fixed income, portfolio construction, risk management, quantitative research, multi-asset investing, and derivatives (options).
• Bachelor's degree in Finance, Economics, Mathematics, Statistics, Engineering, Computer Science, or related quantitative field; advanced degree and/or CFA preferred.
• Strong understanding of portfolio theory, risk modeling, factor analysis, volatility, and optimization techniques.
• Experience working with portfolio analytics, attribution, and risk systems.
• Familiarity with options markets and derivatives analytics preferred.
• Strong programming and data analysis skills (Python, R, MATLAB, SQL, or similar).
• Experience with AI or machine learning tools applied to investment research is a plus.
• Excellent communication skills with the ability to present complex ideas clearly to investment and non-investment audiences.
• Demonstrated intellectual curiosity, independent thinking, and a research-oriented mindset.