Intermediate Quantitative Analyst
Required skills
Experience in statistical analysis and modeling, particularly time-series analysis and back testing of investment strategies, Experience working with large-scale datasets and research pipelines, Solid understanding of financial markets, statistics, and econometric analysis, Good understanding of factor investing, asset valuation, and portfolio construction, Strong programming experience in Python and SQL; Linux experience a plus, Experience with market data vendors such as Bloomberg, Capital IQ, Preqin, Burgiss, or similar platforms, Strong problem-solving skills and ability to manage multiple priorities, Strong oral and written communication skills
Preferred skills
Exposure to private markets analytics (e.g., private equity, private credit, real assets), including cash flow or return modeling, Experience with machine learning and applied AI techniques
Technologies
Python, SQL, Linux, Bloomberg, Capital IQ, Preqin, Burgiss
Responsibilities
Lead independent quantitative model development, managing project timelines and deliverables end-to-end, Research and develop models related to private markets, including return and cashflow modeling, portfolio analytics, and cross-asset integration, Contribute to asset allocation and multi-asset research, including risk/return modeling and scenario analysis, Maintain and enhance existing quantitative research infrastructure and models, Communicate research findings and model results clearly to the research team and broader stakeholders
Seniority
Intermediate
Domain
Investments, Risk and Return, Private Markets, Asset Allocation
