Portfolio Analytics Associate at Pantheon in New York, NY

Summary: Pantheon is a leader in private markets investing with a reputation for innovation. The Portfolio Analytics Associate will support the analytics capability for evergreen vehicles and co-investments, utilizing data to inform investment decisions and collaborate with various teams to enhance portfolio management. Responsibilities: - You will perform evergreen fund‑ and asset‑level analytics — time series and cross-sectional value driver analysis, portfolio composition analysis, risk-return analysis, market benchmarking alongside contribution and attribution analysis - Execute deal/investment/company‑level attribution and sector analytics to separate market vs. idiosyncratic return drivers - Produce scenario, risk‑concentration and macro‑trend analyses - Produce portfolio analytics which are key input into cash‑flow projections; feed outputs into pacing, liquidity and volatility reviews by partnering with Core Portfolio Management and Risk teams - Help systemise data pipelines (ETL) for analytical dashboards in partnership with Technology and DnA teams - Deliver end‑to‑end single-asset analytics: run back‑testing and forward‑looking NPV/IRR/ROE models, drill into value drivers, scenarios, stress tests, order‑of‑effects and optimal‑exit timing; forecast distribution waterfalls and hedge effectiveness - Power portfolio decisions: supply rolling NAV & cash‑flow projections and post‑mortem analyses versus original underwriting to arm Portfolio Management and Deal teams with data‑driven insights - Monitor private markets industry landscape to inform macro analytics and market mapping Required Qualifications: - Relevant experience in private markets with focus on analytics, portfolio management, investments or risk - Highly proficient in financial modelling, data analysis and accounting - Expertise in return attribution, J-curve/L-curve analytics, risk-adjusted metrics - Ability to translate complex analytics into actionable insights for senior stakeholders - Experience in using a diverse analytics toolkit such as Excel, Powerpoint, Tableau/Power BI, Python - Bachelor's degree in Finance, Econometrics, Data Science or related field - Financial qualification (CFA, CAIA, FRM, ACA) or working towards one of these qualifications - Strong attention to detail, problem solving skills and ability to work and deliver with tight deadlines - Innovative and entrepreneurial attitude. Comfortable taking initiative - Ability to clearly and effectively communicate quantitative insights - Willing to work in a position with uneven and high priority project work Preferred Qualifications: - Experience working in financial services, preferably in private markets especially fund of funds structure - Deep exposure to semi-liquid/evergreen products (for example, 1940 Act); coupled with direct investment expertise - Understanding of ETL processes and cloud warehouse technologies (Snowflake, Databricks, etc.) Required Skills: Private markets knowledge, Financial modelling, Data analysis, Return attribution Important Skills: Excel, Python, Tableau/Power BI, Financial qualification Nice-to-Have Skills: Problem solving, Attention to detail, Communication skills, Innovative attitude Benefits: Generous employee benefits package, Discretionary bonus