Quantitative Analyst (Family Office)

About the role

We are seeking a highly analytical and technically skilled Quantitative Analyst to join a single-family office managing a diversified portfolio across public equities, fixed income, foreign exchange, commodities, digital assets, and alternative investments. The successful candidate will work closely with portfolio managers, investment professionals, and senior management to develop quantitative models, generate investment insights, and enhance portfolio performance through data-driven research.

Key responsibilities

• Conduct quantitative research to identify investment opportunities across global markets
• Develop, test, and implement systematic trading and investment strategies
• Design predictive models using statistical, mathematical, and machine learning techniques
• Perform factor analysis, portfolio optimization, and risk-adjusted return analysis
• Research alternative datasets and develop alpha-generating signals
• Build and maintain portfolio risk models and performance attribution frameworks
• Monitor portfolio exposures, concentration risks, liquidity risks, and stress-testing results
• Analyze portfolio performance and provide actionable recommendations to investment teams
• Source, clean, and analyze large financial datasets from multiple providers
• Develop and maintain research infrastructure, databases, and automated reporting systems

About you

• Bachelor's degree or above in Quantitative Finance, Mathematics, Statistics, Physics, Computer Science, Financial Engineering, Economics, or a related quantitative discipline
• 3-8+ years of relevant experience in quantitative research, systematic trading, hedge funds, asset management, proprietary trading, investment banks, or family offices
• Strong programming skills in Python; knowledge of R, MATLAB, C++, or SQL is advantageous
• Solid understanding of financial markets, derivatives, portfolio construction, and risk management
• Experience with statistical modeling, machine learning, and data analysis techniques
• Familiarity with Bloomberg, Reuters, FactSet, Wind, or similar financial data platforms
• Strong analytical and problem-solving skills with the ability to interpret complex datasets
• Excellent communication skills and ability to present quantitative findings to investment professionals