Portfolio Analytics Associate

The motivated Associate will join DnA's Portfolio Analytics team to support the firm-wide analytics capability for Pantheon’s evergreen / semi-liquid vehicles as well as single asset GP-led secondaries and co-investments. The role requires private markets knowledge coupled with semi-liquid fund (40 Act, SICAV) expertise who specialize in using data to develop strategic analytics to inform portfolio decision making, investment decisions, risk analysis, investor insights.

The role partners closely with various teams firm-wide, such as Core Portfolio Management, Investments, Technology, Portfolio Data and Valuations, Fund Finance, Risk to inform evidence-based decisions on portfolio construction, liquidity pacing, performance storytelling as well as supporting the IR teams with investor related analytics. The role will require working with Technology and Data Modelling teams to systemize the strategic analytics across the firm to build both tactical analyses and strategic solutions to better equip our investment teams as well as investors. This is a great opportunity to join a diverse, collaborative, high-performing team.

• →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.

Essential background and skillset:

• 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 (additional) background and skillset:

• 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.)