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Member of Research Staff - Machine Learning for Financial Market Prediction

The Voleon Group • United States
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Develop and optimize statistical machine learning models for financial market prediction and portfolio optimization. Collaborate with research and engineering teams to implement and validate models in live trading environments. Requires Ph.D.-level expertise in machine learning, strong mathematical background, and production coding skills in Python or R.

Key Highlights
Pioneering AI/ML applications in finance with immediate impact on billions of dollars in trades
Ph.D. level coursework required, with preference for completed Ph.D. in relevant field
Work on full research lifecycle from basic research to production deployment
Competitive compensation of $250K-$275K annually
Key Responsibilities
Develop a rich understanding of Voleon's challenges and propose research innovations to build, maintain, and optimize investment strategy models
Prepare and analyze new datasets to assess their predictive efficacy
Develop, validate, and implement new models into production
Design and conduct experiments to improve simulations and evaluate model success in live trading environments
Communicate and collaborate effectively with research staff and software engineers to drive tangible outcomes
Technical Skills Required
Machine Learning Python R
Benefits & Perks
Daily catered lunches
Technology talks by experts
Beautiful modern office

Job Description

Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future.
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