This hybrid role in Midtown Manhattan involves developing and maintaining quantitative models and tools to support the trading strategies and risk management processes. Salary Range dependent on skillset and experience - 50,000-96,000 USD.
Responsibilities
Collaborate with senior quants, developers and traders to design, develop, and maintain Python-based quantitative models and tools.
Implement and optimize algorithms for trading strategies and risk management.
Develop and support real-time data processing and analytics systems.
Write clean, efficient, and well-documented code following best practices in software development.
Requirements
Bachelor's degree, or higher, in Computer Science, Engineering, Mathematics, or a related field.
1-3 years of full-time hands-on experience in a related role.
SQL development and Python programming.
Strong proficiency in SQL (writing complex queries, performance tuning, and creating stored procedures).
Knowledge of financial data systems, trading platforms, and market data is a significant advantage.
Basic knowledge of financial markets and quantitative finance.
Strong problem-solving and analytical thinking skills.
Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team.
Ability to work under pressure and meet deadlines in a fast-paced environment.
Detail-oriented with a focus on data accuracy and performance optimization.
Nice-to-haves
Understanding of market data feeds and APIs (e.g., Bloomberg, Reuters).
Experience with cloud platforms (e.g., AWS, Azure) and containerization technologies (e.g., Docker, Kubernetes).
Knowledge of machine learning techniques and libraries (e.g., scikit-learn, TensorFlow).