Quantitative Researcher - PhD (USA)

Responsibilities

• Help develop the next generation of machine learning models that identify predictive patterns in global financial markets.
• Design and implement state-of-the-art machine learning models for large-scale prediction problems.
• Work with massive structured and alternative datasets to uncover meaningful signals.
• Develop novel statistical methods and predictive features.
• Read, evaluate, and extend cutting-edge academic research.
• Design experiments, test hypotheses, and validate ideas through simulation.
• Collaborate with experienced researchers across disciplines to transform research into production-ready strategies.

Requirements

• PhD in Computer Science, Physics, Mathematics, Statistics, Engineering, Economics, or another STEM discipline.
• Strong interest in machine learning, statistics, or artificial intelligence.
• Excellent programming skills in Python.
• Outstanding analytical and problem-solving abilities.
• Ability to work independently while collaborating effectively with multidisciplinary teams.
• Curiosity, creativity, and a passion for solving difficult problems.

Benefits

• Competitive salary plus bonus, based on individual and company performance.
• Collaborative, casual, and friendly work environment.
• PPO Health, dental, and vision insurance premiums fully covered for you and your dependents.
• Pre-tax commuter benefits.
• Weekly company meals.

Schedule

• This position is classified as overtime-exempt.

Pay

• The base salary for this role is $150,000 to $200,000, and will be determined based on the candidate's educational background and professional experience.