Tax-Aware Quant Portfolio Manager | Long/Short Equity

Franklin Templeton; Stamford (CT); On-site; USD 195,000 - 225,000; Full time

Benefits offered by this job

401(k) matching

Discretionary bonus

Healthcare options

Job summary

O’Shaughnessy Asset Management, part of Franklin Templeton, seeks a Portfolio Manager to develop and manage systematic equity strategies within a quantitative framework. The role requires collaboration across research, trading, and technology, with deep expertise in alpha research and risk management.

We value 5+ years in quantitative portfolio management, an advanced degree, and strong programming skills in Python and SQL (C# preferred). Eligible to work in the U.S.

Qualifications

• 5+ years of experience in quantitative portfolio management or research.
• Advanced degree in Finance, Mathematics, Statistics, Computer Science, Engineering, or related field.
• Strong programming skills (Python and SQL required; C# preferred).
• Deep understanding of portfolio optimization and risk models.

Responsibilities

• Develop and manage systematic long-only and long-short equity strategies within OSAM’s framework.
• Collaborate with research analysts and quant developers to evaluate factor performance and risk.
• Design and manage portfolios balancing alpha, liquidity, and risk constraints.
• Utilize optimization frameworks to control exposures and diversify factors.
• Monitor real-time risk exposures, attribution, and performance drivers across universes.
• Partner with Trading to ensure efficient execution with minimal slippage.

Skills

Python

SQL

C#

Education

Master’s or Ph.D. in Finance/Math/CS/Engineering

Tools

Large data environments

Job description

O’Shaughnessy Asset Management, part of Franklin Templeton, seeks a Portfolio Manager to develop and manage systematic equity strategies within a quantitative framework. The role requires collaboration across research, trading, and technology, with deep expertise in alpha research and risk management.

We value 5+ years in quantitative portfolio management, an advanced degree, and strong programming skills in Python and SQL (C# preferred). Eligible to work in the U.S.