Quantitative Research Analyst

Our client, a leading global alternative investment firm is seeking an experienced individual to join its Multi-Asset Strategies team focused on Research, Analytics and Portfolio Construction. The role sits at the intersection of investment research, quantitative analysis, and portfolio management, with a focus on developing research and proprietary models that inform the firm's thought leadership, client advice, and multi-asset investment mandates. The ideal candidate will combine strong investment judgment and quantitative skills with a practical, creative approach to asset allocation and portfolio construction. Responsibilities Developing original research on asset allocation, portfolio construction, relative value, and other strategic portfolio management topics Building and enhancing proprietary models and analytical tools used for client analysis and multi-asset portfolio management Developing innovative approaches to portfolio construction, asset allocation, and asset/liability modelling Developing tailored asset allocation and portfolio construction analyses for institutional clients, including investment proposals and ongoing portfolio management Enhancing and periodically refreshing the firm's Capital Market Assumptions, including improving methodologies, expanding asset class coverage, and updating assumptions over time Partnering with quant and research teams across the firm to incorporate the firm's insights and capabilities into the Multi-Asset Strategies team's research and portfolio construction work Partnering closely with fundraising and other senior internal stakeholders on client engagements Communicating research and investment insights through thought leadership, client presentations, and discussions with senior internal stakeholders Experience 6+ years of experience at an asset management firm, with direct involvement in quantitative investment research, asset allocation, risk management, and/or portfolio construction Knowledge of investing fundamentals across a wide range of asset classes, ideally including private markets Advanced Python programming for quantitative analysis and financial modelling, and strong proficiency in Microsoft Office (Excel and PowerPoint) Experience addressing institutional portfolio management challenges through quantitative analysis and original research Thorough understanding of economics, financial theory, portfolio theory, liability modelling, optimization, and other portfolio construction techniques Knowledge of risk systems such as MSCI RiskMetrics, Barra, Bloomberg PORT, or FactSet a plus Strong interpersonal and partnership skills, including the ability to collaborate effectively with a diverse range of stakeholders Effective written and verbal communication skills, including the ability to translate complex analysis into clear investment conclusions Creative and adaptive thinker with strong analytical judgment and attention to detail Strong academic credentials, with a degree in a quantitative discipline such as economics, finance, computer science, mathematics, statistics, engineering, or a related field #J-18808-Ljbffr Bruin Corp