Senior Quantitative Trading Engineer

Fidelity Investments Inc.; Boston (MA); Presencial; USD 170.000 - 185.000; Jornada completa

Descripción de la vacante

Fidelity Investments Inc. is seeking a senior quantitative engineer to generate insights from historical and real-time data using Python and KDB/Q. You will assess trading costs, build models, and advance execution strategies in U.S. equity markets.

You will lead development of evaluation frameworks, ML-enabled optimizers, and analytics to improve best-execution and scalability across client objectives, collaborating with trading and technology teams on Agile projects.

Formación

• Candidate with 6+ years in director-level financial engineering or similar roles.
• Experience performing transaction cost analysis in US markets with KDB/Q and Python.
• Strong ML, statistical, and optimization modeling for trading platforms.

Responsabilidades

• Leads research on experimental design, measurement standards, and analytical controls.
• Defines performance frameworks to evaluate systematic trading platforms.
• Analyzes trading and execution data to reduce costs and improve customer outcomes.
• Develops methods to assess impact of market conditions on performance.
• Translates research into scalable platform improvements via Agile.
• Evaluates execution quality and post-trade trends; suggests method changes.
• Applies ML models to optimize execution algorithms and minimize impact.
• Researches market structure, routing, liquidity dynamics, client behavior.
• Creates prototypes to assess broker performance and strategic insights.
• Collaborates with trading, order flow and tech teams to improve best-execution.

Conocimientos

Python

KDB/Q

Machine Learning

Quantitative forecasting

Statistical analysis

Optimization

DeFi analysis

AWS

Educación

Bachelor's degree in Computer Science/Engineering/IT/FinTech

Master's degree in Computer Science/Engineering/IT/FinTech

Herramientas

scikit-learn

Vowpal Wabbit

AWS

Descripción del empleo

Fidelity Investments Inc. is seeking a senior quantitative engineer to generate insights from historical and real-time data using Python and KDB/Q. You will assess trading costs, build models, and advance execution strategies in U.S. equity markets.

You will lead development of evaluation frameworks, ML-enabled optimizers, and analytics to improve best-execution and scalability across client objectives, collaborating with trading and technology teams on Agile projects.