The role involves developing and deploying algorithmic trading strategies based on market behavior patterns using a world-class in-house trading system
Job Summary
The role involves developing and deploying algorithmic trading strategies based on market behavior patterns using a world-class in-house trading system.
Candidates will be responsible for designing data-intensive ETL pipelines and optimizing hot paths for maximum performance.
The position requires contributing to continuous integration pipelines and enhancing system stability through advanced monitoring and alerting.
Matching Summary
The role involves developing and deploying algorithmic trading strategies based on market behavior patterns using a world-class in-house trading system.
Skills & Requirements
Must-have
Proficiency in C++ and Python programming
Experience with back-testing and simulation
Strong statistical modeling skills
Data mining and analysis capabilities
Knowledge of exchange simulators
Nice-to-have
Previous internship in high-frequency trading
Experience with auto-regression techniques
Familiarity with Principal Component Analysis
Background in statistical auto-correlation
Key Requirements
Bachelor's degree in computing, statistics, or mathematics from a top-tier university
Solid programming experience in C++ and Python
Strong background in signal generation and statistical models