Quantitative Researcher at WorldQuant

Seoul, South Korea

WorldQuant Logo
Not SpecifiedCompensation
Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Finance, Quantitative FinanceIndustries

Requirements

  • Ph.D., M.S., or B.S. degree from a leading university in a quantitative or highly analytical field (e.g., Industrial Engineering, Physics, Computer Science, Mathematics, Financial Engineering, etc.)
  • Excellent academic record
  • Proficiency in C/C++ or Python or other programming languages
  • Excellent problem-solving abilities and judgment with a strong attention to detail
  • Mature, thoughtful, with the ability to operate in a collaborative, team-oriented culture
  • Able to communicate in English (written and verbal)

Responsibilities

  • Create computer-based models to predict movements of global financial markets
  • Employ tested processes seeking to identify high-quality predictive signals
  • Develop mathematical expressions of data used as inputs in quantitative models
  • Contribute to the firm's research efforts focused on identifying market inefficiencies

Skills

Key technologies and capabilities for this role

C++PythonQuantitative ModelingMathematical ModelingProblem SolvingMachine LearningStatisticsFinancial Engineering

Questions & Answers

Common questions about this position

What compensation can I expect for this Quantitative Researcher role?

WorldQuant offers highly competitive compensation for this position.

Is this Quantitative Researcher position remote or office-based?

This information is not specified in the job description.

What skills are required for the Quantitative Researcher position?

Candidates need an advanced degree in a quantitative field, proficiency in C/C++, Python, or similar languages, excellent problem-solving abilities, and strong collaboration skills.

What is the company culture like at WorldQuant?

WorldQuant emphasizes a culture pairing academic sensibility with accountability for results, encouraging open thinking, continuous improvement, and a friendly, collegial working environment.

What makes a strong candidate for this Quantitative Researcher role?

A strong candidate will have an excellent academic record from a leading university in a quantitative field like Physics or Computer Science, proficiency in programming languages such as C/C++ or Python, and the ability to thrive in a collaborative team environment.

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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