Multi-Asset Strategies Researcher (Senior Analyst or Associate)

The Multi-Asset Strategies Researcher Associate/Associate is responsible for conducting research and analysis across multi-asset investment strategies, developing quantitative models, evaluating portfolio performance and risk, and generating investment insights to support asset allocation decisions. The incumbent will analyze market trends, economic conditions, and regulatory developments; prepare research reports and presentations; support investment decision-making; and contribute to the enhancement of research methodologies and analytical frameworks. The position proactively works with the Multi-Asset Strategies (MAS) team, Investment Operations, IMD staff, and TRS partners. WHAT WILL YOU DO: Research • Conducts quantitative research to develop and enhance alpha signals, portfolio construction, and risk management across the Alternative Risk Premia and Risk Parity portfolios. • Assists in the design and execution /Designs and executes the full research lifecycle from hypothesis through robustness testing and sizing recommendation. • Evaluates external and academic research for internal application and generate novel ideas that broaden the strategy and signal set. • Produces high-quality research documentation explaining theory and empirical results. • Presents and defends findings to portfolio management, the MAS Investment Committee, and senior management. • Integrates large language models (LLMs) into the quantitative investment research process. Implementation • Assit/Builds Python-based tools and workflows to access, clean, and analyze data at scale. • Partners with portfolio managers and quant developers to deliver end-to-end research and production improvements. • Contributes to the shared multi-asset data system, backtesting framework, and portfolio construction tools. • Applies modern engineering standards including version control, unit testing, code review, and documentation. Portfolio Management • Support daily and periodic model runs, rebalances, and data quality checks. • Build and maintain risk, exposure, and performance monitoring for assigned strategies. • Investigate and resolve data and model exceptions. • Provide backup coverage for critical production processes. Performs related work as assigned.