A leading proprietary trading firm in London is seeking a Quant Developer to enhance its trading strategies. The role includes developing a low-latency high-frequency trading platform and supporting the quantitative research team. Ideal candidates will possess a degree in Computer Science or related fields, have strong C++ programming skills, and exceptional problem-solving abilities. The firm promotes a collaborative culture with generous benefits, including hybrid working opportunities, wellness programs, and professional development.
Qualifications
Bachelor's, Master's or PhD in Computer Science, Engineering, or a related field.
Strong background in data structures, algorithms, and object-oriented programming in C++.
Brilliant problem-solving abilities.
Ability to manage multiple tasks in a fast-paced environment.
Strong communication skills.
Responsibilities
Design and implement a low latency high-frequency trading platform.
Assist in the development of a tick by tick backtesting research platform.
Optimize computational efficiency of existing machine learning algorithms.
Create tools for data analysis that support research decisions.
Skills
Data structures
Algorithms
Object-oriented programming in C++
Problem-solving
Communication skills
Python
Financial markets experience
Education
Bachelor's, Master's or PhD in Computer Science, Engineering, or related field
Job description
A leading proprietary trading firm in London is seeking a Quant Developer to enhance its trading strategies. The role includes developing a low-latency high-frequency trading platform and supporting the quantitative research team. Ideal candidates will possess a degree in Computer Science or related fields, have strong C++ programming skills, and exceptional problem-solving abilities. The firm promotes a collaborative culture with generous benefits, including hybrid working opportunities, wellness programs, and professional development.