AI Scientist at WorldQuant

West Palm Beach, Florida, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Finance, Quantitative Finance, InvestmentIndustries

Requirements

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

Responsibilities

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 the latest in LLM based agentic technology to develop and test innovative 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 optimally with team members, researchers, and portfolio managers

Skills

Key technologies and capabilities for this role

Machine LearningLLMDeep LearningPredictive SignalsSignal CompressionTrading AlgorithmsPythonPyTorchTensorFlow

Questions & Answers

Common questions about this position

What are the locations for this AI Scientist position?

The position is based in West Palm Beach, FL or New York, NY.

What education and experience are required for the AI Scientist role?

A PhD degree in a quantitative or highly analytical field such as Computer Science, Physics, Mathematics, Statistics, or related is required, along with 2+ years of research or work experience applying Machine Learning to complex problems.

What programming skills are needed for this position?

Strong development skills and proficiency in C++, Python, and PyTorch are required.

What is the company culture like at WorldQuant?

WorldQuant has a culture that pairs academic sensibility with accountability for results, encouraging open thinking, challenging conventional ideas, and continuous improvement, where excellent ideas can come from anyone.

What makes a strong candidate for the AI Scientist role?

Top candidates will have graduated at the top of their program with excellent problem-solving abilities, demonstrated creativity and inventions in science, advanced knowledge in statistical inference and machine learning, and strong communication skills.

WorldQuant

Quantitative asset management using algorithms

About WorldQuant

WorldQuant is a quantitative asset management firm that focuses on managing investments for institutional clients like pension funds and sovereign wealth funds. The firm uses data and predictive algorithms to analyze financial markets and identify investment opportunities. Its approach involves algorithmic trading, where mathematical models guide investment decisions. Unlike many competitors, WorldQuant encourages a culture of experimentation and innovation among its employees, allowing everyone to contribute ideas regardless of their position. The company's goal is to generate returns for its clients while maintaining a commitment to equal opportunity in the workplace.

Greenwich, ConnecticutHeadquarters

2007Year Founded

$148.5MTotal Funding

N/ACompany Stage

Quantitative Finance, Financial ServicesIndustries

1,001-5,000Employees

Benefits

Performance Bonus

Flexible Work Hours

Risks

Increased competition from AI-driven investment firms like ADIA.

Regulatory scrutiny on algorithmic trading practices is increasing globally.

Market volatility challenges the performance of algorithmic trading models.

Differentiation

WorldQuant employs over 1,000 professionals across 27 global offices.

The firm uses predictive algorithms to manage assets and generate client returns.

WorldQuant emphasizes equal opportunity, allowing all employees to contribute meaningfully.

Upsides

Increased focus on alternative data sources is gaining traction in quantitative finance.

Machine learning integration in portfolio management allows better market trend predictions.

Quantum computing offers potential for faster, complex calculations in algorithmic trading.

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