The Quantitative Strategist at Fidelity Service Bureau will focus on enhancing electronic trading products through research and data-driven insights. This role requires collaboration with various teams to improve algorithm performance and execution quality for clients. The strategist will leverage large datasets and market research to optimize trading strategies. The position is part of a team dedicated to delivering innovative trading solutions for asset managers and hedge funds.

• Bachelor's or master’s degree in computer science, Mathematics, Engineering, Statistics, Finance, or a related quantitative discipline
• Strong analytical and problem-solving skills with the ability to independently investigate complex questions
• Experience working with large datasets using Python, q/KDB, SQL, R, or similar analytical tools
• Knowledge of UNIX/Linux environments and data processing workflows
• Strong verbal and written communication skills with the ability to explain complex concepts to both technical and non-technical audiences
• FINRA Series 7, 63, and 57 licenses required within six months of hire

• Evaluate algorithm performance and analyze trading outcomes to develop insights for improving execution quality.
• Collaborate with quantitative strategists, technologists, product managers, and sales teams to identify opportunities for enhancing the trading platform.
• Leverage large-scale trading data and transaction cost analysis to support the optimization of the algorithm suite.
• Research, develop, and deploy novel trading algorithms to improve trading efficiency for clients.
• Communicate findings clearly across technical and business audiences.

• Fidelity offers competitive compensation, annual bonuses, retirement contributions, comprehensive healthcare coverage, parental leave, tuition assistance, wellness programs, and extensive professional development opportunities.