Quantitative Researcher, Portfolio Construction

We are partnered with a leading investment manager who is seeking a Quantitative Researcher to join its Portfolio Construction team. This individual will work closely with Portfolio Managers and investment teams to develop quantitative frameworks that support portfolio construction, risk management, and investment decision-making across fundamental equity strategies.

The role sits at the intersection of quantitative research and portfolio management, with a focus on portfolio analytics, factor research, optimization, attribution, and risk modeling. This is an opportunity to influence how portfolios are built and managed while partnering directly with investors.

Responsibilities

• Partner with Portfolio Managers and investment teams to support portfolio construction and investment decision-making
• Develop and maintain portfolio construction frameworks, optimization tools, and quantitative investment analytics
• Conduct research on portfolio risk, factor exposures, performance attribution, and portfolio positioning
• Build models and analytical tools to evaluate portfolio characteristics, concentration risks, and investment opportunities
• Analyze portfolio performance and identify key drivers of risk and return
• Design and enhance risk models, portfolio diagnostics, and investment research infrastructure
• Collaborate with investors to translate quantitative insights into actionable portfolio recommendations
• Develop scalable Python-based tools and workflows to support research and portfolio management processes

Qualifications

• 2-5 years of experience in quantitative research, portfolio construction, portfolio analytics, risk modeling, or a related investment function
• Strong programming skills in Python and experience working with large datasets
• Experience with portfolio optimization, factor models, performance attribution, portfolio analytics, or risk management
• Understanding of equity markets, portfolio management, and quantitative investment processes
• Advanced degree or strong academic background in Mathematics, Statistics, Financial Engineering, Physics, Computer Science, Economics, or a related quantitative field
• Excellent communication skills and ability to work directly with investment professionals