Director of Financial Engineering: ML-Driven Execution

Fidelity; Boston (MA); Vor Ort; USD 170.000 - 185.000; Vollzeit

Zusammenfassung

Fidelity is seeking an advanced quantitative engineer to design, implement, and optimize trading execution platforms within US equity markets. You will develop models, measure performance, and integrate real-time intelligence to improve execution quality and scalability.

Responsibilities include research design, analytical controls, and deploying ML and optimization techniques. Collaboration with trading and technology teams is essential to deliver best-execution insights across asset classes.

Qualifikationen

• Bachelor’s degree in Computer Science, Engineering, Information Technology, Information Systems, Financial Technology, or related field, plus six years as Director, Financial Engineering or related role.
• Master’s degree in related field plus two years as Director, Financial Engineering or related role.

Aufgaben

• Lead design of experiments, measurement standards, and analytical controls to improve platforms.
• Define performance frameworks to evaluate and enhance systematic trading platforms.
• Analyze trading/execution data to reduce costs and improve outcomes.
• Develop methods to assess market conditions on platform performance and decisions.
• Translate research into scalable platform improvements via Agile methods.
• Evaluate execution quality and adjust methodologies based on insights.
• Apply ML models to optimize execution and minimize market impact.
• Lead DeFi analysis and collaborate with teams to deliver scalable capabilities.

Kenntnisse

Python

KDB/Q

ML algorithms

Transaction cost analysis

Quant forecasting

Optimization models

Linear programming

Statistical analysis

Hypothesis testing

Bootstrap

Ausbildung

Bachelor’s degree in Computer Science/Engineering/IT or related field

Master’s degree in related field (optional)

Tools

scikit‑learn

Vowpal Wabbit

AWS

Jobbeschreibung

Fidelity is seeking an advanced quantitative engineer to design, implement, and optimize trading execution platforms within US equity markets. You will develop models, measure performance, and integrate real-time intelligence to improve execution quality and scalability.

Responsibilities include research design, analytical controls, and deploying ML and optimization techniques. Collaboration with trading and technology teams is essential to deliver best-execution insights across asset classes.