Data Scientist at WorldQuant

Seoul, South Korea

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Not SpecifiedCompensation

Entry Level & New GradExperience Level

Full TimeJob Type

UnknownVisa

FinanceIndustries

Requirements

Pursuing a B.S., M.S., or Ph.D. degree from a leading university in related fields (e.g., Electrical Engineering, Physics, Computer Science, Mathematics, Financial Engineering, Big Data)
Graduating in 2024 or 2025
Demonstrated ability in at least one programming language (e.g., C++, Python, etc.)
Familiarity with systems like Linux/Unix
Research experience in NLP, Deep Learning (a plus)
Excellent written and verbal communication skills in English

Responsibilities

Perform analysis and generate models of financial datasets using machine learning techniques
Verify the integrity of unstructured data and turn data into potentially valuable insights
Develop and create data that seek to predict the movement of financial markets by applying a variety of algorithmic techniques

Skills

Python

C++

Machine Learning

NLP

Deep Learning

Linux

Unix

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