Data Scientist
Sardine$150,000 - $170,000/year
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
InternshipExperience Level
InternshipJob Type
UnknownVisa
Financial ServicesIndustries
Requirements
Candidates should possess a strong interest in learning about finance and global markets, and a desire to apply machine learning techniques to financial datasets. Prior finance experience is not required, but a successful candidate must demonstrate a willingness to learn and contribute to the firm’s research platform.
Responsibilities
The Data Science Intern will perform analysis and generate models of financial datasets using machine learning techniques, verify the integrity of unstructured data and transform it into valuable insights, and develop data to predict the movement of financial markets by applying various algorithmic techniques. They will also join a mentoring program and potentially be eligible for a full-time offer based on performance.
Skills
Machine Learning
Data Analysis
Data Modeling
Data Integrity
Financial Data
Algorithmic Techniques
Problem-Solving
Analytical 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