Quantitative Researcher at WorldQuant

Singapore

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Not SpecifiedCompensation

Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

FinanceIndustries

Requirements

Bachelor's (Hons), Master's, or PhD degree in a highly quantitative or analytical field (e.g., Math, Physics, Computer Science, or Financial Engineering) from a leading university
Research scientist mindset – deep thinker, creative, persevering, smart, and a self-starter
Strong understanding of Linear Algebra
Strong understanding of Statistics
Knowledge of Machine Learning
Competency in a programming language (Python, Unix)
Good English language skills
Strong interest in learning about worldwide financial markets

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 in identifying and developing new alphas

Skills

Key technologies and capabilities for this role

Linear AlgebraStatisticsMachine LearningPythonUnix

Questions & Answers

Common questions about this position

What is the salary for the Quantitative Researcher position?

This information is not specified in the job description.

Is this Quantitative Researcher role remote or office-based?

This information is not specified in the job description.

What technical skills are required for the Quantitative Researcher role?

Required skills include strong understanding of Linear Algebra and Statistics, knowledge of Machine Learning, and competency in a programming language like Python or Unix.

What is the company culture like at WorldQuant?

WorldQuant values intellectual horsepower, encourages open thinking, challenging conventional wisdom, and fostering continuous improvement, with teams working collaboratively.

What makes a strong candidate for the Quantitative Researcher position?

A strong candidate has a Bachelor's (Hons), Master's, or PhD in a quantitative field like Math, Physics, or Computer Science from a leading university, a research scientist mindset (deep thinker, creative, persevering, self-starter), and strong interest in financial markets.

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