Machine Learning Researcher – PhD Graduate (US)

About the role

Machine Learning Researchers play a key role in developing next-generation models and trading approaches for a range of investment strategies. You’ll challenge the impossible in quantitative research by applying sophisticated and complex statistical techniques to financial markets, some of the most complex data sets in the world.

Responsibilities

• Use statistics, machine learning (e.g. deep learning, NLP) to extract patterns from various kinds of datasets through innovative and rigorous research
• Implement algorithms in high-quality code
• Work with large data sets, including unconventional and unstructured data sources
• Back-test models and document research findings

Requirements

• PhD degree in mathematics, statistics, physics, computer science, or another highly quantitative field
• Advanced training and a strong research track record in machine learning, statistics, deep learning, natural language processing, artificial intelligence, or a closely related quantitative field
• Prior experience working in a data-driven detailed research environment
• Hands-on programming experience in Python or C++
• Strong problem-solving skills
• Ability to communicate advanced concepts in a concise and logical way
• Proficiency in creating and using algorithms to meticulously investigate and work through large data or error-checking problems

Locations

Opportunities available in New York, Miami, Greenwich, and Houston.

Pay

In accordance with applicable law, the base salary range for this role is $235,000 to $300,000. The employee who fills this role will be eligible to participate in a discretionary incentive compensation program.

Benefits

• Medical and life insurance
• Retirement and tax-free savings plans
• Access to other healthcare programs