Job Description

About the Role:

We are seeking a skilled Quantitative Analyst to join our family office team. The Analyst will focus on developing and implementing sophisticated hedging strategies, analyzing factor risk, and developing methods to use LLMs/AI tools to analyze unstructured data to assist our Investment Analysts in making equity investment decisions in “long-term compounders”. The ideal candidate will possess strong Python programming skills, experience with financial market databases, and a deep understanding of equity factor risk and risk premiums. Familiarity with hedging instruments is essential.

Key Responsibilities:

• Factor Risk Analysis: Identify and monitor factor exposures in the equity portfolio, such as value, momentum, size, and volatility factors.
• Hedging Strategy Development: Design and implement hedging strategies to mitigate undesired factor risks while maintaining desired exposures.
• LLMs/AI Tools: Develop methods that use LLMs/AI tools to analyze unstructured data to accelerate investment research and provide novel insights for our Investment Analysts.
• Research: Stay abreast of academic and industry research related to factor investing and risk premiums to inform strategy development.
• Collaboration: Work closely with the investment team to integrate quantitative insights and the use of LLMs/AI tools into the broader investment process.

Qualifications:

• Education: Bachelor’s or Master’s degree in a quantitative field such as Mathematics, Statistics, Computer Science, or Finance.
• Experience: Minimum of 5 years of experience in a quantitative role, preferably within asset management or a family office setting.
• Technical Skills: Proficiency in Python programming and experience with financial databases and data vendors. Advanced Excel skills.
• Knowledge: Strong understanding of equity markets, factor models, and hedging instruments.
• Communication: Ability to convey complex quantitative concepts to non-technical stakeholders.

Preferred Qualifications:

• Experience with portfolio optimization and risk management tools.
• Familiarity with academic research on factor investing and risk premiums.
• Knowledge of various hedging instruments and their applications in equity portfolios.
• Familiarity with using LLMs/AI tools to analyze unstructured data to provide qualitative insights on potential investments.

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