J.P. Morgan is seeking a Vice President for its Mid-Frequency Trading Strategies team in New York. The role involves designing and implementing mid-frequency trading frameworks, developing proprietary trading strategies, and applying advanced statistical and machine learning techniques. Candidates should have a Master's degree in a quantitative field, strong experience in quantitative trading, and proficiency in Python programming. This role offers the opportunity to work in a collaborative environment focused on driving research directly into live trading decisions.
Qualifications
Minimum 5 years of experience in quantitative trading or research.
Demonstrable expertise in statistical modelling and hypothesis testing.
Experience with applying ML techniques to financial predictions.
Responsibilities
Improve the mid-frequency trading framework and ensure robust performance.
Research proprietary trading strategies using statistical modelling and ML.
Monitor live strategy performance and iterate on models.
Skills
Statistical modelling
Machine learning proficiency
Python programming
Analytical and problem-solving skills
Education
Master's degree in a quantitative STEM discipline
Tools
NumPy
pandas
scikit-learn
PyTorch
TensorFlow
Job description
J.P. Morgan is seeking a Vice President for its Mid-Frequency Trading Strategies team in New York. The role involves designing and implementing mid-frequency trading frameworks, developing proprietary trading strategies, and applying advanced statistical and machine learning techniques. Candidates should have a Master's degree in a quantitative field, strong experience in quantitative trading, and proficiency in Python programming. This role offers the opportunity to work in a collaborative environment focused on driving research directly into live trading decisions.