Quantitative Developer - AI Implementation

Chicago, Illinois, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Financial Services, Artificial Intelligence, BiotechnologyIndustries

Requirements

Candidates should possess at least 2 years of experience training AI, ML, reinforcement learning, and related models, gained in the technology, academia, or quantitative trading domains. They should have hands-on experience building, testing, and maintaining complex software systems, and demonstrate a willingness to explain and defend employed models, their interpretation, and business value. Graduate-level research experience in Artificial Intelligence or a related field, including published or accepted conference work, is a plus, as is knowledge of C++ and experience with Python, NumPy, and Pandas.

Responsibilities

The Quantitative Strategist will build AI/ML/reinforcement learning/optimization models for investment selection, optimization, execution, and more, implement AI solutions throughout the firm via collaboration with portfolio management, risk, and other research teams, access the firm’s state-of-the-art data and hardware systems, and develop the foundational software used for AI at WorldQuant.

Skills

Machine Learning

Reinforcement Learning

Optimization

Software Development

Quantitative Finance

Data Analysis

Algorithmic Trading

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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