Evercore's Private Capital Advisory (PCA) team is a leading global secondaries market advisor, focusing on providing strategic advisory services to financial sponsors across a variety of portfolio and fund management objectives, advising limited partners on liquidity solutions for their private asset portfolios, and employing various forms of structured ABS technologies to create innovative capital and liquidity solutions for private markets issuers and investors. PCA is seeking to hire a highly motivated Quantitative Analyst to support senior team members in applying advanced data-driven techniques to business and financial challenges. The ideal candidate has strong technical and analytical skills, a foundation in data science or machine learning, and a desire to learn and grow within a collaborative environment. The candidate should be intellectually curious, detail-oriented, and able to balance multiple projects simultaneously, while contributing to the development of tools, models, and insights that drive better decision-making. Candidates with demonstrable prior machine learning experience - including applied ML in industry or research (e.g., NLP, ranking, forecasting, anomaly detection) - are strongly encouraged to apply. Finance experience is a plus but not required. Experience designing and deploying live, distributed systems to disseminate data-driven insights is also highly valued.