Python Software Engineer – Financial Engineering

We are a Portfolio Risk Analytics company seeking a highly skilled Python Software Engineer with a strong background in financial engineering to design, develop, and maintain quantitative financial applications. The ideal candidate has experience building analytical tools, pricing models, trading systems, or risk management platforms using Python and modern software engineering practices.

Responsibilities - Design, develop, and maintain Python applications for financial analysis and quantitative modeling. - Build and optimize pricing, valuation, and risk management models for financial instruments. - Develop data pipelines for processing market, economic, and alternative data. - Implement and maintain backtesting frameworks for trading and investment strategies. - Collaborate with quantitative researchers, traders, portfolio managers, and software engineers. - Optimize code for performance, scalability, and reliability. - Integrate applications with market data providers, databases, and APIs. - Write clean, maintainable, and well-documented code. - Develop automated testing and deployment pipelines. - Monitor production systems and troubleshoot technical issues.

Python Software Engineer – Financial Engineering

We are a Portfolio Risk Analytics company seeking a highly skilled Python Software Engineer with a strong background in financial engineering to design, develop, and maintain quantitative financial applications. The ideal candidate has experience building analytical tools, pricing models, trading systems, or risk management platforms using Python and modern software engineering practices.

Responsibilities - Design, develop, and maintain Python applications for financial analysis and quantitative modeling. - Build and optimize pricing, valuation, and risk management models for financial instruments. - Develop data pipelines for processing market, economic, and alternative data. - Implement and maintain backtesting frameworks for trading and investment strategies. - Collaborate with quantitative researchers, traders, portfolio managers, and software engineers. - Optimize code for performance, scalability, and reliability. - Integrate applications with market data providers, databases, and APIs. - Write clean, maintainable, and well-documented code. - Develop automated testing and deployment pipelines. - Monitor production systems and troubleshoot technical issues.