AI Scientist

The role

You will research machine learning to improve the investment pipeline. You will produce trading and predictive signals and design deep learning architectures. You will work with portfolio managers and researchers.

What you will do

• Conduct research in the Machine Learning field to improve multiple aspects of the investment pipeline
• Produce trading or predictive signals using innovative Machine Learning algorithms
• Apply LLM based agentic technology to develop and test trading signals and algorithms
• Implement signal compression and combination techniques using Machine Learning tools
• Implement state of the art machine learning algorithms
• Design deep learning architectures
• Develop model frameworks for investment professionals
• Collaborate with portfolio managers and researchers to optimize machine learning algorithms
• Communicate with team members, researchers, and portfolio managers

Required qualifications

• PhD in a quantitative or highly analytical field (e.g., Computer Science, Physics, Mathematics, Statistics, or a related field)
• 2+ years of research or work experience applying Machine Learning to complex problems
• Graduated at the top of your educational program, with excellent problem-solving abilities and strong attention to detail
• Demonstrated ability to program, with proficiency in C++, Python, and PyTorch
• Demonstrated science aptitude via a record of creativity and inventions; ability to run experiments and perform statistical inference
• Experience with version control (e.g., Git), continuous integration, and testing frameworks
• Advanced practitioner-level knowledge of statistical inference, machine learning, software solvers, and/or mathematical optimization
• Strong communication skills; ability to express complex concepts in simple terms

Benefits

• Fully paid medical and dental insurance for employees and dependents
• Flexible spending account
• 401k
• Fully paid parental leave
• Twenty vacation days, pro-rated from start date, accruing 1.67 days per month
• Three personal days
• Ten sick days
• Employee discounts for gym memberships, wellness activities, and healthy snacks
• Casual dress code
• Learning and development courses, speakers, and team-building off-site
• Employee resource groups

Before you apply

• Base pay range is shared for all US-based postings regardless of state

About the company

WorldQuant develops and deploys systematic financial strategies across many asset classes and global markets. It pairs academic sensibility with accountability for results.