VP, Portfolio and Quantitative Analytics - Lazard Wealth

VP, Portfolio and Quantitative Analytics - Lazard Wealth

Lazard is one of the world’s preeminent financial advisory and asset management firms. Our people and culture make the difference. While global in presence and reach, ours is a close, collaborative community of just over 3,000 professionals. Lazard is a place of continuous knowledge sharing, skill development and relationship building, where professionals grow and succeed together. Our entrepreneurial culture, flat structure and embrace of individual differences allow creative ideas, original concepts, and unique perspectives to drive our business forward — and for careers to take flight.

Lazard Wealth
, LAM’s wealth management business, collaborates with clients to solve and simplify the complexities of wealth, while delivering sophisticated investment solutions and advice. We combine years of history and experience to help preserve and grow our clients’ wealth across generations. The principal areas of focus with clients are strategic advice and planning, investment management and direct private investments. Working in partnership with families, we customize an investment process that meets their specific needs.

Americas | Asset Management | New York

We are seeking a Vice President of Portfolio and Quantitative Analytics to play a critical role in supporting and overseeing quantitative and risk management functions within our firm. You will develop and implement effective risk management strategies, programming models, reports, and procedures across client portfolios, market research, and technology solutions.

• Develop and maintain models and tools to identify and monitor portfolio risk factors, stress test portfolios, and ensure compliance with risk management guidelines.
• Proactively monitor market conditions and perform scenario analysis to assess potential impacts on portfolio risk exposures and recommend necessary adjustments.
• Participate in portfolio and investment decisions and contribute to the development of investment strategies, asset allocation models, private modeling and risk‑management frameworks—incorporating quantitative research insights.
• Utilize advanced statistical techniques and quantitative models to assess portfolio and investment risk, estimate potential returns, and optimize portfolio construction to deliver performance attribution analysis, factor‑based exposures, and portfolio optimization.
• Stay updated on the latest industry trends and research advancements in risk management, quantitative analysis, and portfolio construction methodologies.
• Collaborate with other groups within the Firm to offer quantitative support and industry‑specific input.
• Support the Investment Team with quantitative research and analysis of investment opportunities across various asset classes, including equities, fixed income, and alternative investments (privates and real assets) with a strong focus on risk management and portfolio construction.
• Evaluate and implement risk management techniques, such as hedging strategies, derivatives, and asset allocation adjustments, to mitigate portfolio risks and enhance risk‑adjusted returns.

• Proven experience in risk management, quantitative research, or a related role within the wealth management industry.
• Proven experience in MATLAB for programming and software development.
• Strong understanding of risk management principles, quantitative modeling techniques, and statistical analysis.
• Highly proficiency in programming languages such as R or MATLAB for quantitative research, data analysis, model implementation, and creation of interactive dashboards.
• Strong ability to access, manipulate, and clean large data sets from various databases and sources.
• Ability to prioritize and manage multiple tasks and projects effectively.
• Experience with risk modeling software, quantitative analytics platforms, and market data providers (e.g., Bloomberg).
• Familiarity with risk measurement methodologies (e.g., VaR, stress testing, factor analysis) and risk‑management frameworks (e.g., risk budgeting, risk‑adjusted performance metrics).
• Knowledge of financial derivatives, options…