Mid-Level
Job summary
As a Multi-Asset Associate in the Portfolio Management team within the Chief Investment Office, you will help translate macroeconomic developments into cross-asset investment views and portfolio actions. You will contribute to a repeatable investment process that combines fundamental and macro analysis with disciplined risk management. You will use data and coding to improve research workflows, support portfolio construction, and strengthen monitoring and reporting. You’ll work in a team culture that values curiosity, precision, and partnership across the firm.
Job responsibilities
Assist in maintaining, refining and expanding a coherent macro framework that links growth, inflation, policy and other macro data points to cross-asset market outcomes. This will include helping define and monitor macro regimes across major economics, identifying key catalysts and maintaining a repeatable cadence for updating views as data, central bank action and government policy evolves
Automate and improve research and reporting tools using coding and data analysis techniques
Analyze macroeconomic releases and market data to inform investment views and scenario discussions
Responsible for managing and running analysis to aid portfolio construction . Examples include supporting the team with risk, performance analysis and vehicle selection.
Contribute to the responsible application of AI techniques to enhance investment research and portfolio management workflows
Help execute and oversee end-to-end trade processes, including pre-trade checks, coordination, and post-trade follow-up
Collaborate with internal partners across risk management, analytics, research, compliance, technology, operations, and trading support teams
Required qualifications, capabilities, and skills
A strong academic background with a university degree, ideally in economics, finance or a similarly technical subject
Demonstrated knowledge of core macroeconomic concepts and how they can influence financial markets
Relevant experience in macro research, cross-asset strategy, or multi-asset portfolio management
Proficiency in Python for data analysis, automation, and building repeatable workflows
Familiarity with Bloomberg, Haver or other macro data services, ideally with experience in using their respective python APIs.
Experience working with time series datasets and producing clear, decision-ready analysis
Practical understanding of portfolio risk and performance concepts (e.g., factor risk, drawdowns, attribution)
Ability to communicate insights clearly in writing and in team discussions
Strong collaboration skills and ability to work effectively with a wide range of internal partners
Preferred qualifications, capabilities, and skills
Advanced degree in a relevant quantitative field
Progress toward or completion of the CFA designation
Experience supporting trade lifecycle processes and partnering with operations and controls functions
Sign up to apply and find out right away if you're a fit.
Your agent will tell you — in seconds.
Sign up and I'll tell you right away how well JPMorgan Chase matches you — what you already have, and what's missing. Then I stay on it: I search for you and only write when I find something worth your time.