Investment Team, Portfolio Management Senior Analyst/Associate

InvestureCharlottesville, VA
Onsite

About The Position

This professional will be a core member of Investure’s Investment Team focusing on Portfolio Management. Reporting to an Associate Director on the team, this role will contribute directly to institutional portfolio management and asset allocation. This person will support the Portfolio Management Team across its core responsibilities: portfolio oversight, prospective risk/return analysis, quantitative modeling, and original investment research. This professional will take ownership of recurring responsibilities relied upon by key stakeholders including exposure and liquidity analysis, private investment budgeting, and financial market monitoring. Over time, this individual will become a primary resource in areas such as strategic and tactical tilts, risk and liquidity management, and analytical tooling. The ideal candidate should possess a strong, demonstrated interest in financial markets, experience in investments or a related field, a sharp quantitative and analytical skill set, a commitment to continuous process improvement, and exceptional attention to detail. A strong technical ability is essential as Investure increasingly relies on a modern data and analytics stack in its portfolio management approach. The strongest candidates pair innate curiosity and open-mindedness with a proven ability to work independently and with exceptional attention to detail. Investure will not sponsor H-1B or other employment-related visas for this position.

Requirements

  • 2-4 years of investment or adjacent experience. Relevant backgrounds may include institutional investing (OCIO, endowment/foundation, investment consulting), capital markets (sales/trading), investment banking, and/or equity / macro / risk research.
  • Bachelor's degree required; finance, math, or other quantitative field preferred.
  • Genuine interest in financial markets and institutional investing.
  • Prior exposure to asset allocation, portfolio construction, liquidity, and rebalancing preferred.
  • Exceptional attention to detail, particularly in client and portfolio analytics.
  • Excellent quantitative aptitude and Excel modeling skills.
  • Takes ownership and demonstrates a strong work ethic, balancing high-impact analysis with the recurring operational work that institutional portfolios depend on.
  • Applies a systematic approach to problem-solving, automating manual processes, and documenting tools and workflows.
  • Communicates clearly and collaborates effectively, escalating issues appropriately and translating complex analysis into plain language across teams.

Nice To Haves

  • An advanced degree and/or demonstrated progress within the CFA program is a plus.
  • Familiarity with Python, data pipelines, APIs, and portfolio analytics software is a plus.
  • Proficiency in SQL and emerging tools in an institutional investment context is a plus.

Responsibilities

  • Own recurring workflows crucial to the Portfolio Management Team, keeping reporting and portfolio data accurate and consistent.
  • Monitor and communicate portfolio risk measures: factor and currency exposures, portfolio illiquidity and illiquidity budgeting, concentration, and portfolio resilience. Proactively surface rebalancing opportunities for the team.
  • Support market and asset-allocation research by identifying macroeconomic and thematic opportunities and helping to translate them into actionable decisions.
  • Help connect manager-level decisions to their portfolio-level implications.
  • Assist with performance attribution and return decomposition to inform sizing and rebalancing.
  • Help build and improve the team's tools, dashboards, and processes, using Excel, SQL, Python, third-party platforms (i.e. Bloomberg, MSCI Private i, Capital IQ, FRED), and emerging tools to make portfolio management faster and more reliable.
  • Continuously identify where new technologies, i.e. programming and data tools, can automate manual workflows, speed up analysis, and replace spreadsheet-based processes; learn unfamiliar tools as the work requires and put them into production for the team.
  • Support client requests, allocation and sizing decisions, and liquidity planning with bespoke modeling and analysis.
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