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
Key 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
Must have
Qualifications: 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 have
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)
Languages
English: C1 Advanced
Seniority
Junior
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