Quantitative Analyst

Job Description:

The Groups and Team

Quantitative Research & Investments (QRI) is an investments and research division within Asset Management at Fidelity. We are responsible for the management and development of quantitative and hybrid quant/fundamental investment strategies and solutions while providing high quality quantitative, data-driven support to Fidelity's investment professionals, ensuring they have access to the most relevant data and advanced quantitative analysis.

With roughly $800 billion in assets under management, Fidelity Asset Management Solutions (FAMS) is a leading provider of multi-asset class solutions for retail and institutional clients. The range of investment solutions includes target date funds, target allocations funds, income and real return strategies, world allocation funds, managed-volatility strategies and other custom institutional solutions.

• Target date glidepath design
• Retirement solutions to address longevity risk
• Downside protection and robust diversification
• Proprietary alpha signals and factor models
• Systematic cross-asset investment strategies
• Liability-driven investment solutions

• Develop and communicate global macro views based on both independent and collaborative research.
• Lead research across four areas: strategic asset allocation, tactical asset allocation, portfolio construction, and manager research.
• Build quantitative tools and infrastructure to support discretionary and systematic investment processes.
• Monitor and attribute portfolio risks and returns.
• Collaborate across investment and technology teams, mentor analysts.
• Translate complex quantitative ideas for non-technical audiences.
• Share insights through stakeholder presentations and published research.
• The Expertise and Skills You Bring
• Deep understanding of market dynamics, quantitative strategies, portfolio construction, and risk management.
• Advanced degree in finance, math, engineering, science, or business.
• 10+ years in quantitative research (multi- or single-asset class).
• 5+ years applying quantitative techniques in discretionary investment processes.
• Programming and data management experience; proficiency in Python or R.
• Leadership Competencies You Demonstrate
• Strategic thinker with a bias for timely execution.
• Professional presence with strong communication across all levels.
• Independent idea generator with a collaborative working style.
• Passionate about markets and investing.
• High integrity, humility, and team orientation.
• Committed to investment principles and repeatable processes.
• Client-focused mindset.