What You’ll Do

• Develop, test, and implement ML models and strategies across various financial instruments.

• Analyze large datasets, optimize model performance, and build scalable training/inference pipelines.

• Contribute to the design and direction of the firm’s ML platform and research initiatives.

• Collaborate with trading and engineering teams to bring ideas from concept to production.

• Share expertise through mentorship, research discussions, and participation in ML conferences.

Qualifications

• Strong foundation in mathematics (optimization, regularization, linear algebra, statistics).

• Proven experience in building and maintaining ML infrastructure and production workflows.

• Proficiency with modern ML frameworks (e.g., PyTorch, TensorFlow, JAX).

• Curiosity for research and a passion for exploring new ML techniques and hardware.