Executive Director, Mid-Frequency Trading & ML

JPMorganChase; New York (NY); On-site; USD 250,000 - 500,000; Full time

Benefits offered by this job

Health care coverage

On-site health and wellness centers

Retirement savings plan

Backup childcare

Tuition reimbursement

Mental health support

Financial coaching and more

Job summary

JPMorganChase is seeking an Executive Director for its Mid-Frequency Trading Strategies team in New York. You will lead the design and implementation of the mid-frequency trading framework, overseeing hypothesis generation, backtesting, deployment, and ongoing performance monitoring in a highly quantitative setting.

This role combines research and live trading, requiring deep expertise in statistical modelling and machine learning, as well as collaboration with traders, researchers, and

Qualifications

• Master's degree in a quantitative STEM discipline is required.
• Proven experience in quantitative trading, quantitative research, or systematic strategy development.

Responsibilities

• Improve the mid-frequency trading framework, including signal generation, alpha combination, portfolio optimization, and execution logic.
• Research and develop proprietary trading strategies using advanced statistical modelling and ML techniques.
• Apply machine learning methodologies to extract predictive signals from large datasets.
• Own the end-to-end research process from hypothesis generation to live deployment.
• Develop and maintain production-grade implementations of trading strategies and supporting infrastructure.
• Monitor live strategy performance and perform PnL attribution.

Skills

Python programming

Machine learning

Statistical modelling

Analytical thinking

Independent work

Education

Master's degree in quantitative STEM

PhD in quantitative STEM

Tools

NumPy

Pandas

scikit-learn

PyTorch

TensorFlow

AWS

Job description

JPMorganChase is seeking an Executive Director for its Mid-Frequency Trading Strategies team in New York. You will lead the design and implementation of the mid-frequency trading framework, overseeing hypothesis generation, backtesting, deployment, and ongoing performance monitoring in a highly quantitative setting.

This role combines research and live trading, requiring deep expertise in statistical modelling and machine learning, as well as collaboration with traders, researchers, and