Quantitative Researcher at WorldQuant

Taipei, Taiwan

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Finance, Quantitative FinanceIndustries

Requirements

BEng, MSc, or PhD from a top university in Mathematics, Computer Science, Physics, Electrical Engineering, or equivalent
High GPA and academic grades
Deep thinker, creative, strong work ethic, persevering, smart, and a self-starter (research mentality)
Proficiency in C++ and Python (newer programming skills welcomed)
Strong interest in learning about worldwide financial markets
Strong communication skills in English (written and verbal)
Research scientist mindset
Self-starter attitude
Creative and persevering problem solver
Motivated by unsolved challenges
Strong record of research achievement (e.g., scientific publications, conference presentations, grants, or industry awards) - beneficial
Prior experience in quant research - beneficial

Responsibilities

Conduct rigorous exploration and unconstrained thinking to apply data to financial markets
Search for and identify new high-quality predictive signals (alphas) undiscovered by the wider market
Employ tested processes to develop mathematical expressions of data as inputs for quantitative models
Produce high-quality predictive signals through the proprietary research platform
Collaborate with teams to drive the production of alphas and financial strategies

Skills

Key technologies and capabilities for this role

C++PythonMathematicsComputer SciencePhysicsElectrical Engineering

Questions & Answers

Common questions about this position

Is this position remote?

Yes, the position is remote.

What is the salary for this Quantitative Researcher role?

This information is not specified in the job description.

What programming skills are required for this role?

The role requires programming skills in C++ and Python predominantly, with newer skills also welcomed.

What is the company culture like at WorldQuant?

WorldQuant is built on a culture that pairs academic sensibility with accountability for results, encouraging employees to think openly about problems, challenge conventional thinking, and possess an attitude of continuous improvement. Excellent ideas come from anyone, anywhere, and the goal is to hire the best and the brightest with intellectual horsepower.

What makes a strong candidate for this Quantitative Researcher position?

Strong candidates will have a BEng, MSc, or PhD from a top university in fields like Mathematics, Computer Science, Physics, or Electrical Engineering, with a high GPA, programming skills in C++ and Python, a research mentality as a deep thinker and self-starter, strong interest in financial markets, and excellent communication skills.

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