Quantitative Researcher at WorldQuant

Lake Country, British Columbia, Canada

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Not SpecifiedCompensation

Entry Level & New GradExperience Level

Full TimeJob Type

UnknownVisa

Finance, Quantitative FinanceIndustries

Requirements

Strong understanding of the investment research process
Ability to build computer-based models to predict the movements of the global financial markets
Interest in learning about finance and global markets (prior finance experience not required)
Ability to analyze and apply various types of data to the financial markets through rigorous exploration and unconstrained thinking

Responsibilities

Create computer-based models seeking to predict the movements of the global financial markets
Analyze and apply various types of data to the financial markets through rigorous exploration and unconstrained thinking

Skills

Key technologies and capabilities for this role

Quantitative ModelingFinancial ModelingData AnalysisPredictive ModelingProgrammingStatisticsMachine Learning

Questions & Answers

Common questions about this position

Is this position remote?

Yes, this is a remote position.

What is the salary for this Quantitative Researcher role?

The salary is competitive, but specific details are not provided.

What skills are required for this role?

Candidates need a strong understanding of the investment research process, ability to build computer-based models to predict financial market movements, interest in learning about finance and global markets, and ability to analyze and apply various data types through rigorous exploration.

What is the company culture like at WorldQuant?

WorldQuant has a culture that pairs academic sensibility with accountability for results, encourages open thinking, challenging conventional ideas, and continuous improvement, valuing intellectual horsepower above all.

What makes a strong candidate for this position?

Strong candidates demonstrate outstanding intellectual talent and horsepower, with the ability to think unconstrained and help build the future success of the firm.

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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