The Multi-Asset Solutions (MAS) team at J.P. Morgan Asset Management (JPMAM) brings over 50 years of expertise in managing multi-asset portfolios. Leveraging proprietary JPMAM strategies, MAS delivers customized, cross-asset class solutions tailored to the investment management needs of institutional and retail clients. With more than $500 billion in assets under management globally, MAS offers a diverse range of multi-asset investment solutions for a broad spectrum of investors.

Job summary:

The Vice President for Real Assets & Diversifiers Research on the Asset Management Multi-Asset Solutions Research team will develop investment views and identify opportunities across real estate, transportation, commodities (including gold), and other diversifiers for J.P. Morgan Asset Management’s Multi-Asset Solutions investment team. The role partners closely with portfolio managers and the quant team to turn data-driven insights into actionable investment recommendations. There may also be an opportunity to contribute to research on J.P. Morgan Asset Management’s long-term capital market assumptions.

Job responsibilities:

• Generate and apply fundamental frameworks to form investment views across real assets and diversifiers, including real estate, transportation, infrastructure, and commodities including gold.

• Produce clear, actionable research through written products and presentations by leveraging top-down, bottoms-up, and quantitative approaches.

• Build models and dashboards to track asset fundamentals and key themes.

• Collaborate with PMs and research analysts to evaluate cross-asset implications, undertake scenario analyses, and help assess risk.

Required qualifications, skills and capabilities:

• 5+ years of experience in real assets/commodities or multi-asset research, ideally at a buy-side investing firm.

• Strong grasp of fundamentals, valuations, and market mechanics for real assets and diversifiers.

• Strong ability to connect fundamental research to multi-asset investing, including determining entry/exit, sizing, hedging, and more.

• Excellent quantitative and qualitative abilities; proficiency in data and modeling tools (Excel; Python or R; familiarity with market data platforms).

• Clear and concise written and oral communication; comfortable presenting to investment teams under time constraints; collaborative, team-oriented, and high attention to detail.

Preferred qualifications, skills and capabilities:

• CFA preferred.