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ADIC is seeking an Asset Allocation Associate Principal to join the Long-Term Asset Allocation team. Reporting to the Director of Long-Term Asset Allocation, the successful candidate will support the development and management of ADIC's long-term asset allocation framework and investment strategy. This role offers the opportunity to contribute to strategic investment decision-making through macroeconomic research, asset allocation analysis, and portfolio construction. The successful candidate will work closely with investment teams across the organization to support the management of a globally diversified portfolio. Key Responsibilities • Contribute to the development and maintenance of long-term macroeconomic outlooks, investment scenarios, and market narratives. • Conduct research on secular trends and asset class developments, assessing their implications for strategic asset allocation. • Support the development of forward-looking return, risk, and correlation assumptions across public and private markets. • Assist in the design, analysis, and stress testing of strategic asset allocation frameworks and portfolio construction methodologies. • Prepare investment research, presentations, and memoranda, communicating insights to internal stakeholders and supporting strategic initiatives across the organization. • Undertake ad hoc research and quantitative analysis to support asset allocation and broader investment strategy decisions. Requirements Experience • Minimum 5 years of relevant experience in asset allocation, investment strategy, macroeconomic research, portfolio construction, investment consulting, or a related investment function. Education • Bachelor's degree in Finance, Economics, Mathematics, Engineering, or another quantitative discipline. • CFA designation and/or postgraduate qualification preferred. Technical Skills & Knowledge • Good understanding of macroeconomics and its implications for financial markets and investment portfolios. • Experience conducting independent market and investment research. • Understanding of expected return frameworks, asset allocation, and portfolio construction methodologies. • Knowledge of the key drivers of asset class returns and risks across public and private markets. • Quantitative analytical skills with the ability to interpret and communicate investment insights. • Familiarity with AI-enabled research tools and emerging applications of artificial intelligence within investment management is advantageous.
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