Senior Quantitative Analyst: Alpha Modeling & Portfolios

Socket.dev; Boston (MA); On-site; USD 165,000 - 200,000; Full time

Job summary

Fidelity seeks a seasoned Quantitative Analyst II to lead cross-regional models, validate alpha strategies, and build scalable predictive tools using Python, R, MATLAB, and SQL in a Linux environment.

Responsibilities include improving stock-selection signals, developing risk models, and integrating quantitative methods into trading systems, with a focus on robust, production-grade research workflows onsite. Salary ranges from $165,000 to $200,000 annually.

Qualifications

• Bachelor’s degree in a related field with 5 years of AM Quant experience using Python, R, MATLAB and SQL in Linux.
• Alternatively, a Master’s degree with 3 years of relevant experience and the same toolset.
• Experience extracting alpha from large structured/non-structured data sources and validating models.

Responsibilities

• Improve stock selection models via empirical analysis and back-testing.
• Develop quantitative equity models, risk models, and transaction cost models.
• Lead research on new investment products leveraging alpha and risk models.
• Collaborate with research, technology and trading to integrate methods into processes.

Skills

Portfolio optimization

Options volatility

ML models

Python/R/SQL

Back-testing

Education

Bachelor’s degree in finance/economics/Math/Accounting/engineering

Master’s degree in related field (optional)

Tools

Gurobi or Cplex

TensorFlow/Keras

Linux environment

SQL

Job description

Fidelity seeks a seasoned Quantitative Analyst II to lead cross-regional models, validate alpha strategies, and build scalable predictive tools using Python, R, MATLAB, and SQL in a Linux environment.

Responsibilities include improving stock-selection signals, developing risk models, and integrating quantitative methods into trading systems, with a focus on robust, production-grade research workflows onsite. Salary ranges from $165,000 to $200,000 annually.