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Portfolio Analytics Associate
Pantheon Ventures Careers · New York, New York, United States · Active · $125,000–$135,000 / year · Greenhouse
Job facts
| Field | Value |
|---|---|
| Company | Pantheon Ventures Careers |
| Title | Portfolio Analytics Associate |
| Normalized title | - |
| Department / team | Data & Analytics |
| Location | New York, NY, United States |
| Work model | - |
| Employment type | - |
| Salary | $125,000–$135,000 / year |
| Status | active |
| ATS provider | Greenhouse |
| Posted / first seen | 2026-01-20 / 2026-05-29 |
| Changed / last seen | 2026-06-13 / 2026-06-20 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Pantheon Ventures Careers. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Greenhouse. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in New York. | Open |
| Department jobs | Active postings in Data & Analytics. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Pantheon Ventures Careers |
| Source | da281833-747a-4641-8298-220ea3fd7ed3 |
| ATS provider | Greenhouse |
Description
Pantheon has been at the forefront of private markets investing for more than 40 years, earning a reputation for an innovative approach to investing in secondaries, co-investments, and primary fund investments, as well as capital formation across commingled funds, evergreen vehicles and customized solutions. Our specialist investment capabilities span multiple strategies across private equity, infrastructure and real assets, and private credit. Through our collaborative and committed culture, we find new ways to solve complex problems together and deliver innovative investment opportunities across private markets. Pantheon currently manages approximately $82.3 billion in AUM across all its strategies, serving more than 750 institutional and 638 private wealth clients worldwide
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.
Full job record
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| Source ID | da281833-747a-4641-8298-220ea3fd7ed3 |
| Board ID | da281833-747a-4641-8298-220ea3fd7ed3 |
| Provider | greenhouse |
| Provider Job Key | 8381188002 |
| Title | Portfolio Analytics Associate |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | New York, New York, United States |
| Department | Data & Analytics |
| Team | — |
| Employment Type | — |
| Workplace Type | — |
| Remote Policy | — |
| Country | United States |
| Region | NY |
| City | New York |
| Salary Raw | salary range: $125,000 - $135,000 Actual base salary is determined by a range of factors including individual exp |
| Salary Min | 125,000 |
| Salary Max | 135,000 |
| Salary Currency | USD |
| Salary Period | year |
| Source URL | https://job-boards.greenhouse.io/pantheonpublic/jobs/8381188002 |
| Apply URL | https://job-boards.greenhouse.io/pantheonpublic/jobs/8381188002 |
| First Seen At | 2026-05-29 22:42:46Z |
| Last Seen At | 2026-06-20 07:38:00Z |
| Last Checked At | 2026-06-20 07:38:00Z |
| Last Changed At | 2026-06-13 07:37:56Z |
| Inactive At | — |
| Source Posted At | 2026-01-20 15:23:32Z |
| Source Updated At | 2026-06-12 14:50:39Z |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=pantheonpublic/date=2026-06-20/2026-06-20T07-37-59-934Z-44615ef7e29814e2655ef93ec50cc5bba502ea98af8fe9dee75de8d263525ee2.json |
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