We are seeking an experienced Quant Developer to join a leading hedge fund/prop trading firm. The successful candidate will be responsible for developing and implementing quantitative models, algorithms, and tools to support the firm’s trading strategies.

Key Responsibilities

• Design, develop, and maintain quantitative models and algorithms for trading and risk management.
• Collaborate with traders, portfolio managers, and other stakeholders to understand business requirements and develop solutions.
• Implement and test trading strategies using programming languages such as Python, C++, or MATLAB.
• Analyze and improve existing models and algorithms to ensure optimal performance.
• Work with large datasets, performing data analysis, visualization, and mining to identify trading opportunities.
• Develop and maintain software applications, tools, and infrastructure to support trading operations.

Requirements

• Strong background in quantitative finance, mathematics, computer science, or related field.
• 10+ years of experience in quant development, algorithmic trading, or a related field.
• Proficiency in programming languages such as Python, C++, or MATLAB.
• Experience with data analysis, visualization, and mining tools.
• Strong understanding of financial markets, instruments, and trading strategies.
• Excellent problem-solving skills, attention to detail, and ability to work under pressure.

Nice to Have

• Experience with machine learning, deep learning, or artificial intelligence techniques.
• Knowledge of cloud-based infrastructure and distributed computing.
• Familiarity with risk management and compliance frameworks.

Qualifications

• Bachelor’s or Master’s degree in Quantitative Finance, Mathematics, Computer Science, or related field.
• Strong track record of developing and implementing quantitative models and algorithms.

• Design, develop, and maintain quantitative models and algorithms for trading and risk management.
• Collaborate with traders, portfolio managers, and other stakeholders to understand business requirements and develop solutions.
• Implement and test trading strategies using programming languages such as Python, C++, or MATLAB.
• Analyze and improve existing models and algorithms to ensure optimal performance.
• Work with large datasets, performing data analysis, visualization, and mining to identify trading opportunities.
• Develop and maintain software applications, tools, and infrastructure to support trading operations