Responsibilities:

• Analysis of Real Assets
• Investigate and demonstrate potential benefits and risks of investing in a wide variety of asset classes, both public and private, with a focus on public real assets.
• Establish strategic asset allocations for multi-asset investment strategies targeting specific return, risk, yield, factor exposures and other investment objectives.
• Monitor asset class and sector valuations to identify investment opportunities and risks for tactical asset allocation, with a focus on public real assets.
• Create quantitative models, valuation screens, and analytical tools used in the investment process
• Conduct portfolio optimization using quantitative techniques and facilitate ad-hoc portfolio analysis with robust data collection and analysis
• Portfolio Management:
• Contribute investment ideas, insights, and recommendations during portfolio management meetings and strategy discussions with a focus on public real assets.
• Follow macroeconomic and sector specific data and news flow and synthesize into implications, opportunities and risks for investment strategies.
• Collaborate with sector specialist investment teams within the firm to discuss and explore sector specific views.
• Implement tactical asset allocation decisions across public security investment portfolios.
• Compile portfolio models, portfolio allocations, portfolio performance and other relevant material for portfolio management meetings and investment committee meetings.

Qualifications & Requirements:

• Bachelor’s degree or foreign equivalent. Graduate degree, CFA or CAIA designation a plus.
• Minimum 4+ years of relevant investment experience:
• Asset allocation experience is considered an advantage
• Fixed income experience is considered an advantage
• Private markets experience is considered an advantage

· Strong quantitative skills including data collection, treatment and analysis

· Strong skills using Excel, Word, PowerPoint and Bloomberg or FactSet.

· Programming experience in Python, R, or other statistical computing language is considered an advantage.