Portfolio and Quantitative Analytics Analyst - Lazard Wealth

Overview

Portfolio and Quantitative Analytics Analyst - Lazard Wealth

Lazard Wealth (LW), LAM’s wealth management business, collaborates with our clients to help 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.

Lazard is seeking a Portfolio & Quantitative Analytics Analyst to play a critical role in supporting and overseeing risk management functions within our firm. You will be responsible for developing and implementing effective risk management strategies, models, reports, and procedures across client portfolios, market research, and technology solutions.

• Utilize and assist in the development and maintenance of risk 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.
• Observe and contribute to portfolio and investment decisions; contribute to the development of investment strategies, asset allocation models, and risk management frameworks, incorporating quantitative research insights.
• Become proficient in statistical techniques and quantitative models to assess portfolio and investment risk, estimate potential returns, and optimize portfolio construction in order 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 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.

• 3-5 years’ experience in a risk management, analytical, or quantitative role, particularly within the asset allocator and wealth management space.
• Bachelor’s degree in finance, economics, mathematics, statistics, or a related field. Advanced degree (e.g., MBA, MSc) with a focus on quantitative finance or risk management is preferred.
• Understanding of risk management principles, quantitative modeling techniques, and statistical analysis.
• Experience using programming languages such as R and MATLAB for quantitative research, data analysis, model implementation and creation of interactive dashboards.
• Proven experience in MATLAB programming and software development.
• Ability to prioritize and manage multiple tasks and projects effectively.
• Ability to access, manipulate, and clean large data sets from various databases and sources.
• 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).
• Baseline knowledge of financial derivatives, options pricing models, and portfolio optimization techniques.
• Excellent problem-solving and critical-thinking skills, with the ability to analyze complex data sets and draw meaningful insights.
• Strong communication and presentation skills, with the ability to explain quantitative concepts to non-technical stakeholders.
• A strong interest in working on a wide range of problems related to diverse asset classes and investment…