Senior Quantitative Analyst, Quantitative & Risk Analytics

Fiduciary Trust International

Lincoln, MA, USA
Base: $160,000 - $185,000; bonus/equity: annual di...
Hybrid (on-site 3 days per week)
Python and sql programming
Portfolio and risk analytics
Data pipelines and quality control
Fiduciary Trust International is seeking a Senior Quantitative Analyst to join their Quantitative and Risk Analytics team. The role involves analyzing portfolio and risk data, maintaining datasets, and developing quantitative models, while also collaborating closely with portfolio managers and researchers

Job Summary

  • Analyze portfolio, market, and risk data to generate insights for portfolio managers, while also maintaining proprietary datasets, models, and analytics infrastructure.
  • Design and implement quantitative analytics in Python and SQL, ranging from exploratory analysis and model development to reusable libraries and automated production workflows.
  • Evaluate and integrate AI-enabled capabilities to enhance analytical workflows, with appropriate controls, validation, documentation, and adherence to compliance and data privacy requirements.

Matching Summary

Match Score: 85

Fiduciary Trust International is seeking a Senior Quantitative Analyst to join their Quantitative and Risk Analytics team. The role involves analyzing portfolio and risk data, maintaining datasets, and developing quantitative models, while also collaborating closely with portfolio managers and researchers.

Salary

Base: $160,000 - $185,000; Bonus/Equity: Annual discretionary bonus; Benefits: Comprehensive benefits package including 401(k) match, healthcare, insurance, employee stock investment program, learning resources, career development programs, paid time off, and wellbeing program.

Skills & Requirements

Must-have

  • Python and SQL programming
  • Portfolio and risk analytics
  • Data pipelines and quality control
  • Applied financial modeling
  • Production-quality code development
  • Modern software engineering practices

Nice-to-have

  • AI-enabled capabilities integration
  • Investment and market data platforms
  • Cloud or modern analytics tooling
  • Building analytical dashboards
  • Quantitative or statistical modeling techniques

Key Requirements

  • 6-8 years of relevant experience
  • Bachelor's degree in a quantitative discipline
  • Strong programming skills in Python
  • Strong data skills including SQL
  • Comfort with modern software engineering practices
  • Ability to work in the United States without sponsorship

Work Rights

Must be able to work in the US without sponsorship

Tailored Resume

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