Quantitative Research Analyst
@ Franklin Templeton

New York, NY
$120,000
On Site
Full Time
Posted 21 hours ago

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Job Details

Overview

Franklin Templeton's O’Shaughnessy Asset Management (OSAM) is a specialist investment manager offering Custom Indexing services via CANVAS®. Operating globally with clients in over 150 countries, OSAM provides a diverse and disciplined approach to portfolio management.

Role Summary

The Quantitative Research Analyst at OSAM will enhance portfolio optimization and tax-aware portfolio construction frameworks, supporting simulation and live portfolio workflows. This role requires close collaboration with portfolio managers, developers, and researchers to translate research into production systems.

Responsibilities

  • Conduct investment research and run simulations of investment strategies.
  • Perform large-scale backtests to assess strategy efficacy and tax impacts.
  • Work with robust data pipelines and APIs using C#, Python, and SQL.
  • Interface with portfolio managers, risk teams, and technology groups.
  • Apply statistical methods and machine learning for factor generation and validation.

Requirements

  • Degree in Computer Science, Statistics, Math, Engineering, Physics, or Quantitative Finance; Master’s or Ph.D. preferred.
  • 2-5 years of experience in quantitative research, financial data engineering, or software development.
  • Expertise in C#, Python, SQL and object-oriented programming.
  • Solid understanding of statistical modeling, portfolio optimization, and risk modeling.
  • Excellent communication and organizational skills.

Compensation & Benefits

Competitive base salary ranging approx. $110,000 - $130,000 plus bonus, along with a comprehensive benefits package including healthcare, 401(k), paid time off, and more.

Work Arrangement

The role is based in Stamford, CT; New York City; or another nearby East Coast location, with a hybrid or remote schedule.

Key skills/competency

  • Quantitative Research
  • Portfolio Optimization
  • Tax Research
  • Simulation
  • C#
  • Python
  • SQL
  • Machine Learning
  • Statistical Modeling
  • Feature Engineering
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How to Get Hired at Franklin Templeton

🎯 Tips for Getting Hired

  • Customize your resume: Tailor experiences around quantitative methods.
  • Highlight technical skills: Emphasize C#, Python, SQL expertise.
  • Research Franklin Templeton: Understand their global investment strategies.
  • Prepare for interviews: Practice technical and situational questions.

📝 Interview Preparation Advice

Technical Preparation

Review coding in C# and Python.
Practice SQL query optimization exercises.
Study statistical modeling techniques.
Refresh optimization and simulation methods.

Behavioral Questions

Describe a challenging project collaboration.
Explain how you prioritize tasks under deadlines.
Share an instance of effective communication.
Discuss handling multiple concurrent projects.

Frequently Asked Questions