Python/Quantitative Analysis Developer

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Requirements:

• Proficiency in Python and experience with libraries like NumPy, Pandas, SciPy, Matplotlib, and SymPy.
• Solid understanding of quantitative finance and experience with financial instruments.
• In-depth knowledge of mathematics, especially probability theory and optimization.
• Hands-on experience with financial calculations, including Black-Scholes and Monte Carlo simulations.
• Expertise in handling datasets and using SQL or NoSQL databases.
• Ability to optimize algorithms and write high-performance code.
• Proficiency in Git for version control.
• Strong problem-solving and debugging skills.
• Experience with financial modeling platforms and cloud computing services.
• Knowledge of big data technologies like Hadoop or Spark.
• Experience with machine learning techniques applied to finance.

Responsibilities:

• Design, implement, and optimize algorithms and models for financial analysis.
• Write efficient Python code to handle large datasets and perform statistical analysis.
• Develop mathematical models, simulations, and optimization algorithms.
• Identify areas for performance improvement and optimize code for speed.
• Build tools and libraries to support quantitative analysis.
• Collaborate with quantitative analysts, data scientists, and financial teams.
• Ensure reliability of models through robust testing and documentation.