.**Important Information**Experience: +7 yearsJob Mode: Full-timeWork Mode: Work from home**Job Summary****Responsibilities and Duties**- **Data Processing & Analysis**: Write efficient Python code to handle large datasets, process financial data, and perform statistical analysis. Ensure accuracy and integrity of data used in financial calculations.- **Algorithm Development**: Develop mathematical models, simulations, and optimization algorithms for financial forecasting, market analysis, and trading strategies.- **Optimization**: Identify areas for performance improvement in financial models and data processing pipelines. Optimize code for speed and scalability.- **Tool Development**: Build tools and libraries to support quantitative analysis, including backtesting platforms, data visualization tools, and financial calculators.- **Collaboration**: Work closely with quantitative analysts, data scientists, and other developers to understand requirements and deliver effective solutions. Collaborate with financial teams to understand domain-specific needs and translate them into code.- **Testing & Documentation**: Ensure the reliability of financial calculations and models through robust unit testing. Document algorithms, code, and systems for future use and clarity.**Qualifications and Skills**- **Strong Python Programming Skills**: Proficiency in Python, with experience in libraries such as **NumPy**, **Pandas**, **SciPy**, **Matplotlib**, and **SymPy** for numerical and financial analysis.- **Quantitative Analysis Background**: Solid understanding of **quantitative finance**, including financial modeling, asset pricing, risk management, and derivatives. Experience working with complex financial instruments such as options, bonds, and equities.- **Mathematical & Statistical Expertise**: In-depth knowledge of **mathematics**, particularly **probability theory**, **stochastic processes**, **optimization**, and **time series analysis**.- **Experience with Financial Calculations**: Hands-on experience in implementing financial calculations such as **Black-Scholes**, **Monte Carlo simulations**, **option pricing**, **risk metrics (VaR, CVaR)**, and other advanced quantitative techniques.- **Data Handling & Manipulation**: Expertise in handling large datasets, performing statistical analysis, and using **SQL** or **NoSQL** databases to retrieve and process financial data.- **Performance Optimization**: Ability to write high-performance code, optimize algorithms, and work with large-scale data processing frameworks.- **Version Control**: Proficiency in **Git** for version control and collaboration within development teams.- **Problem Solving & Debugging**: Strong analytical and troubleshooting skills, with a methodical approach to solving complex quantitative and technical problems.- **Financial Software Experience**: Experience working with financial modeling platforms, trading platforms, or financial risk management tools