Quant Developer - HFT

• Design and develop low-latency software stack for high-frequency trading
• Build and improve models to increase trading profitability
• Collaborate with traders, software developers, and researchers in cross-functional teams
• Apply machine learning techniques to vast datasets for insights
• Develop and maintain quantitative models and algorithms
• Work on distributed computation optimized backtesting and simulation systems

• Bachelor's or Master's degree in Computer Science, Mathematics, or related fields
• Proficiency in programming languages:

• C++: object-oriented design, GDB
• Python: data analysis, machine learning
• R: statistical analysis
• Strong understanding of data structures and algorithms
• Experience with:

• Linux/Unix: operating system concepts
• Network programming: TCP/IP, concurrent programming
• Brilliant problem-solving abilities and passion for new technologies

• Opportunity to work with a talented team of researchers and developers
• Collaborative and dynamic work environment
• Professional development and growth opportunities
• Flexible work arrangements and competitive compensation package

Newbridge Alliance