Wealth Management, Multi-Asset Portfolio Manager, Associate/Senior Associate, London

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.

Support the development and ongoing refinement of a macro framework linking growth, inflation, policy, and other drivers to cross-asset market outcomes Monitor macro regimes across major economies and identify catalysts that may impact portfolio positioning Analyze macroeconomic releases and market data to inform investment views and scenario discussions Automate and improve research and reporting tools using coding and data analysis techniques Produce risk and performance analytics to support portfolio construction and ongoing monitoring Support vehicle evaluation and selection by comparing exposures, implementation options, and portfolio fit 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 Bachelor’s degree in economics, finance, engineering, mathematics, or a similarly quantitative discipline 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 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 attention to detail and ability to manage multiple priorities with consistency and control 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 using macro data platforms (e.g., Bloomberg, Haver) and/or their Python APIs Familiarity with applying machine learning or AI methods to research, signal generation, or process efficiency Experience supporting trade lifecycle processes and partnering with operations and controls functions