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Benefits offered by this job
Discretionary bonus
Paid leave and insurance
Job summary
A global trading firm is seeking quantitative researchers to apply state-of-the-art machine learning in solving trading problems. The ideal candidate will have a strong background in ML, statistics, and programming, with responsibilities including designing ML models and collaborating with trading teams. This full-time position offers a competitive salary range of $200,000 to $275,000 USD and a collaborative work environment.
Qualifications
2+ years of experience building applied ML models, preferably in a trading environment.
Proven expertise in developing and deploying predictive models.
Strong publication track record at ICML, ICLR, NeurIPS, or equivalent.
Responsibilities
Design and deploy machine learning models to enhance trading performance across various asset classes.
Research, test, and prototype new algorithmic ideas.
Collaborate with quantitative traders and researchers to translate insights into data-driven models.
Skills
Machine Learning
Deep Learning
Python programming
Statistical analysis
Data preprocessing
Education
PhD or Master's in Engineering, Math, Statistics, Computer Science, or related field
Tools
PyTorch
TensorFlow
Jax
Job description
A global trading firm is seeking quantitative researchers to apply state-of-the-art machine learning in solving trading problems. The ideal candidate will have a strong background in ML, statistics, and programming, with responsibilities including designing ML models and collaborating with trading teams. This full-time position offers a competitive salary range of $200,000 to $275,000 USD and a collaborative work environment.