Portfolio Analytics Associate
Location: Hybrid
A growing private credit investment firm is looking to add a Portfolio Analytics Associate to its data and reporting team. This position sits at the intersection of portfolio analytics, fund reporting, and business intelligence, supporting decision-making across the investment team, investor relations, and operations.
This is a highly analytical role focused on understanding and validating investment and fund-level performance data rather than being a pure engineering position. The ideal profile is someone who is strong in Python, SQL, and reporting workflows, but equally strong in questioning outputs, identifying anomalies, and ensuring the numbers tell an accurate story.
What You’ll Do
* Own portfolio reporting and analytics across investment, IR, and operations
* Build, maintain, and improve Python / SQL based reporting workflows and dashboards
* Validate outputs and investigate anomalies across key fund metrics including IRR, MOIC, and NAV
* Partner with the investment team to understand new deals, portfolio performance, and reporting needs
* Support fund reporting, including how portfolio data flows into LP / investor reporting
* Build data models, dashboards, and repeatable workflows to improve efficiency and reduce manual effort
* Perform ad hoc analysis tied to portfolio performance and operational decision-making
Fund / Investment Exposure
This role supports reporting across the firm’s private credit fund, meaning the person will work with metrics tied to the performance of the investment fund itself, including portfolio returns, valuation metrics, investor reporting outputs, and overall fund performance analytics.
Must Have
* 2+ years in portfolio analytics, financial reporting, business intelligence, or data-heavy analytical roles
* Strong Python and SQL with experience working across large datasets
* Exposure to fund reporting concepts, including IRR, MOIC, NAV, investor reporting, or portfolio valuation
* Experience within private credit, private equity, asset management, or financial services is highly preferred
* Strong attention to detail and strong analytical intuition
* BI / dashboarding experience with Tableau, Power BI, Looker, Streamlit, or similar tools is a plus
