AI Scientist

2 months ago


West Palm Beach, Florida, United States WorldQuant Full time

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform.

WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement.

Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.


Location: West Palm Beach, FL

The Role: We are seeking an exceptionally talented AI Scientist to join the Artificial Intelligence team at WorldQuant. The successful candidate will:

  • Conduct research in the Machine Learning field to enhance multiple aspects of the investment pipeline
  • Produce trading or predictive signals using innovative Machine Learning 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 effectively with team members, researchers, and portfolio managers

What You'll Bring:

  • PhD degree 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 in innovative ways to complex problems
  • Graduated at the top of your respective educational program, with excellent problem solving abilities, insight, and judgment with a strong attention to detail
  • Demonstrated ability to program. Strong development skills and proficiency in C++, Python, and PyTorch.
  • Demonstrated science aptitude via record of creativity and inventions. Ability to run experiments and perform statistical inference.
  • Experience with software development tools and practices, such as 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

Our Benefits:

  • Core Benefits: Fully paid medical and dental insurance for employees and dependents, flexible spending account, 401k, full paid parental leave, generous PTO with unlimited sick days
  • Perks: Employee discounts for gym memberships, wellness activities etc., healthy snacks, casual dress code
  • Training: learning and development courses, speakers, team-building off-site
  • Employee resource groups

By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction.

Copyright 2024 WorldQuant, LLC. All Rights Reserved.
WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.



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