Data Scientist
Sardine150,000 - 170,000 USD/year
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Entry Level & New GradExperience Level
Full TimeJob Type
UnknownVisa
Financial Services, Data ScienceIndustries
Requirements
Candidates should be pursuing a B.S., M.S., or Ph.D. degree from a leading university in related fields such as mathematics, statistics, computer science, physics, or engineering, and possess a strong interest in learning about finance and global markets. A successful candidate must demonstrate exceptional intellectual horsepower and a talent for problem-solving.
Responsibilities
The Data Scientist will 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, and develop and create data that seek to predict the movement of financial markets by applying various algorithmic techniques.
Skills
Python
R
Machine Learning
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.
Key Metrics
Greenwich, ConnecticutHeadquarters
2007Year Founded
$148.5MTotal Funding
N/ACompany Stage
Quantitative Finance, Financial ServicesIndustries
1,001-5,000Employees