Senior Quantitative Analyst — AI-Driven Risk & Analytics

Franklin Templeton; New York (NY); Hybrid; USD 160,000 - 185,000; Full time

Benefits offered by this job

Bonus potential

401(k) match

Healthcare benefits

Job summary

Fiduciary Trust International, part of Franklin Templeton, is seeking a Senior Quantitative Analyst in New York with robust skills in Python and SQL to support portfolio analytics and research. The role blends data engineering, analytics, and production-ready modeling to empower portfolio managers across asset classes.

You will modernize legacy workflows, build scalable analytics, and collaborate with Portfolio Management and Research to deliver insights and durable processes.

Qualifications

• Bachelor’s degree in a quantitative field is required.
• Strong programming skills and production-quality code experience.
• Experience with portfolio analytics, risk and data pipelines is preferred.

Responsibilities

• Serve as primary quantitative partner for Portfolio Management and Research.
• Maintain, validate, and enhance portfolio and risk analytics including risk decomposition and scenario testing.
• Analyze portfolio, risk, and market data to identify drivers of performance and risk.
• Own data pipelines and data-quality control processes with daily/weekly checks.
• Design analytics in Python and SQL for reusable libraries and production workflows.
• Support quarterly investment analysis and reporting with reproducible analyses.
• Contribute to quant research projects including backtesting and scenario analysis.
• Evaluate AI-enabled capabilities to improve analytical workflows with proper controls.

Skills

Quantitative analysis

Communication

Attention to detail

Problem solving

Education

Bachelor’s degree in a quantitative discipline

Tools

Python

SQL

Excel

VBA

Git

Tableau/Power BI

AWS/Azure

Job description

Fiduciary Trust International, part of Franklin Templeton, is seeking a Senior Quantitative Analyst in New York with robust skills in Python and SQL to support portfolio analytics and research. The role blends data engineering, analytics, and production-ready modeling to empower portfolio managers across asset classes.

You will modernize legacy workflows, build scalable analytics, and collaborate with Portfolio Management and Research to deliver insights and durable processes.