Portfolio Manager, Multi Asset

Company Overview

Founded in 1989, PanAgora (Greek for across marketplace) Asset Management is a premier provider of investment solutions spanning most major asset classes and risk ranges. We seek to provide investment solutions using sophisticated quantitative techniques that incorporate fundamental insights and vast amounts of market information. Our investment strategies are highly systematic, while the processes within them are overseen by talented professionals with significant and diverse investment experience. Innovative research plays a central role in our philosophy and process, and is an essential component of our ability to deliver attractive investment solutions. Investment teams are organized into an Equity Strategies group and a Multi Asset Strategies group. Most team members conduct original research using fundamental intuition, market intelligence, modern finance, and scientific methods. We are committed to providing clients with reliable investment processes, consistent performance, transparency, and access to our resources. Our client base includes institutional investors across the globe, including public and private retirement funds, sovereign wealth funds, endowments and foundations, and sub‑advisory mandates.

Role Overview

The quantitative Investment Portfolio Manager is responsible for researching and developing methodologies required for managing global multi‑asset risk parity based portfolios. The researcher is expected to conduct innovative research across asset classes—fixed income, equities, and commodities—and to produce publication‑quality research. Responsibilities include presentation of research results and participation in group research meetings and discussions.

Essential Functions

• Conduct alpha factor research for global equity strategies, generating creative investment ideas and rigorous quantitative analyses.
• Apply statistical analysis and modeling techniques to datasets of all sizes, enhance existing models, and pursue new research topics.
• Perform advanced programming in Python/Pandas, R, and SQL; extract data custom‑tailored from Factset, Bloomberg, Revere, and Thomson Reuters databases.
• Author research papers to showcase PanAgora’s research depth; design and manage research agendas.
• Backtest and present research on equity investment factors.
• Communicate understanding of market impacts on client portfolios.
• Advance research capabilities using modern machine‑learning techniques.

Qualifications

• Master’s degree in Finance, Econometrics, Economics, Mathematics, or a directly related field.
• Three (3) years of experience conducting, summarizing, and presenting financial research analysis.
• Programming experience in Python and SQL.
• Experience running backtests and performing quantitative equity research.
• Proficiency with advanced programming and design libraries such as pandas, scipy, numpy.
• Experience with mathematical modeling: regression analysis, linear algebra, machine‑learning algorithms, and large data sets.
• Knowledge of factor research, forecasting methodologies, portfolio construction techniques, including CAPM, APT, Fama‑McBeth analysis, mean‑variance optimization, and constraint analysis.
• Two (2) years of experience codifying investment strategies using Python, R, Perl, SQL, or C#; adjusting models to manage portfolio‑relevant systemic risk; designing and implementing parametric and non‑parametric models across markets.
• One (1) year of experience codifying investment strategies using machine‑learning technologies for quantitative and textual data.

Compensation

Base salary: $200,000 – $250,000. Disclaimer: The posted salary range is an estimate at the time of posting and is not a promise of a particular wage for any individual.

Equal Opportunity Employment

Our culture thrives on collaboration and creativity. We encourage diversity of thought, which generates new perspectives and fosters investment innovation. We nurture and promote a culture built on the following principles: Team, Research, Service, and Transparent communication with clients.