Pantheon Ventures Logo

Pantheon Ventures

Evergreen Portfolio Analytics Associate

Posted 2 Days Ago
Be an Early Applicant
Easy Apply
In-Office
New York, NY
125K-135K Annually
Senior level
Easy Apply
In-Office
New York, NY
125K-135K Annually
Senior level
The Associate will support portfolio analytics, focusing on evergreen vehicles and asset-level analyses to inform investment decisions and enhance portfolio management. Responsibilities include data-driven insights, risk analysis, and collaboration across firm teams to optimize performance and liquidity pacing.
The summary above was generated by AI

Pantheon has been at the forefront of private markets investing for more than 40 years, earning a reputation for providing innovative solutions covering the full lifecycle of investments, from primary fund commitments to co-investments and secondary purchases, across private equity, real assets and private credit.

We have partnered with more than 650 clients, including institutional investors of all sizes as well as a growing number of private wealth advisers and investors, with approximately $65bn in discretionary assets under management (as of December 31, 2023).

Leveraging our specialized experience and global team of professionals across Europe, the Americas and Asia, we invest with purpose and lead with expertise to build secure financial futures.

For further details please visit www.pantheon.com

Purpose of Position

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.

Key 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.

Knowledge and Experience Required

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.)

Expected base salary range:  $125,000 - $135,000

Actual base salary is determined by a range of factors including individual experience, skills and qualifications. 

In addition to the above salary, Pantheon offers a generous employee benefits package and successful candidates are eligible to receive a discretionary bonus


.


This job description is not to be construed as an exhaustive statement of duties, responsibilities, or requirements. You may be required to perform other job-related duties as reasonably requested by your manager.

Pantheon is an Equal Opportunities employer, we are committed to building a diverse and inclusive workforce so if you're excited about this role but your past experience doesn't perfectly align we'd still encourage you to apply.



Top Skills

Databricks
Excel
Power BI
PowerPoint
Python
Snowflake
Tableau

Similar Jobs

20 Minutes Ago
Remote or Hybrid
United States
67K-124K Annually
Junior
67K-124K Annually
Junior
Artificial Intelligence • Cloud • Sales • Security • Software • Cybersecurity • Data Privacy
The Compensation Analyst will manage global compensation programs, conduct data analysis, support annual reviews, and ensure compliance while providing guidance on compensation recommendations.
Top Skills: ExcelServicenowWorkday
20 Minutes Ago
Remote or Hybrid
2 Locations
126K-234K Annually
Expert/Leader
126K-234K Annually
Expert/Leader
Artificial Intelligence • Cloud • Sales • Security • Software • Cybersecurity • Data Privacy
The RVP will oversee a team of strategic sales professionals, manage revenue goals, support the sales cycle, and enhance client relationships while driving team growth.
21 Minutes Ago
Easy Apply
Remote or Hybrid
US
Easy Apply
230K-300K Annually
Mid level
230K-300K Annually
Mid level
Digital Media • Mobile • Software • Conversational AI
The Enterprise Account Executive will focus on closing mid-market and enterprise customers, building a qualified sales pipeline, and maintaining customer readiness. Responsibilities include navigating complex sales conversations and contributing to company growth in a high-paced environment.
Top Skills: AICloud-Based SolutionsMiddleware SolutionsSaaS

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account