Leverage your advanced Python skills as a Quantitative Developer focused on Quantitative Finance. Build financial models and analytics essential for trading and risk management teams.
We are in search of a Quantitative Developer with deep expertise in Quantitative Finance and advanced Python capabilities. This role will emphasize the development and implementation of pricing systems and analytical tools that serve our trading teams. Collaborate effectively with quantitative analysts and traders while performing simulation and backtesting to validate your models.
Key Responsibilities:
• Develop and implement models for financial derivative pricing
• Turn quantitative models into high-quality Python code
• Create tools for analytics, valuation, and risk assessment
• Partner with traders to refine quantitative strategies
• Conduct rigorous backtesting of models for validation
Requirements:
• Strong background in derivatives and capital markets
• Deep understanding of statistics and stochastic processes
• Proficiency in Python, including libraries like NumPy
• Experience in data analysis and numerical computations
• Familiarity with SQL for data handling tasks
Elevate financial modeling and analytics by applying your quantitative skills in Python.
#J-18808-Ljbffr
or continue with email
We are in search of a Quantitative Developer with deep expertise in Quantitative Finance and advanced Python capabilities. This role will emphasize the development and implementation of pricing systems and analytical tools that serve our trading teams. Collaborate effectively with quantitative analysts and traders while performing simulation and backtesting to validate your models.
Key Responsibilities:
• Develop and implement models for financial derivative pricing
• Turn quantitative models into high-quality Python code
• Create tools for analytics, valuation, and risk assessment
• Partner with traders to refine quantitative strategies
• Conduct rigorous backtesting of models for validation
Requirements:
• Strong background in derivatives and capital markets
• Deep understanding of statistics and stochastic processes
• Proficiency in Python, including libraries like NumPy
• Experience in data analysis and numerical computations
• Familiarity with SQL for data handling tasks
Elevate financial modeling and analytics by applying your quantitative skills in Python.
#J-18808-Ljbffr
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