Quantitative Research Intern at WorldQuant

Singapore

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

Finance, Quantitative FinanceIndustries

Requirements

BS (Hons), MS or PhD in Math, Physics, Computer Science or Engineering (preferred)
Excellent academic records
Prior quant analysis or trading experience (a benefit)
Experience working under a Linux environment
Strong understanding of the investment research process
Strong interest in learning about finance and global markets
Research scientist mind-set; self-starter, creative and persevering deep problem solver motivated by unsolved challenges

Responsibilities

Assisting with daily research and analysis tasks
Scripting for monitoring and alpha signal analysis
Contributing to the creation of computer-based models for predicting global financial market movements
Learning about stock markets and other capital markets

Skills

Quantitative Research

Alpha Generation

Financial Modeling

Predictive Signals

Data Analysis

Statistical Modeling

Programming

Machine Learning

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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