Quant Development Intern

Position Title: Quant Development Intern

Job Responsibilities:
1. Implement quantitative models using Python and other relevant programming languages, ensuring high accuracy and efficiency.
2. Work with REST/Websockets technologies to facilitate real-time data communication and integration within the system.
3. Apply option theories to analyze financial instruments and contribute to the development of trading strategies.
4. Handle large datasets effectively, performing data cleaning, processing, and analysis to support decision-making processes.
5. Collaborate with the research and development team to translate complex mathematical concepts into practical applications by replicating academic papers.

Job Requirements:
1. Strong proficiency in Python programming and experience with UNIX/Linux scripting for automation and system management tasks.
2. Solid understanding of REST/Websockets protocols and their application in financial technology environments.
3. Knowledgeable in option pricing theories and their practical implications in financial markets.
4. Demonstrated ability to work with large-scale datasets, including data manipulation, statistical analysis, and visualization techniques.
5. Capacity to quickly grasp advanced mathematical concepts and apply them to real-world problems, with a focus on replicating and extending existing research.

Contract Details:
The internship contract is for a duration of three months, with potential for extension or conversion to a full-time position based on performance and business needs.