**Important Information**
Experience: +7 years
Job Mode: Full-time
Work 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.
- **Big Data Technologies**: Experience with **Hadoop**, **Spark**, or other big data frameworks for processing large financial datasets.
- **Machine Learning**: Experience with **machine learning** techniques applied to quantitative finance, such as predictive modeling or algorithmic trading strategies.
**About Encora**
Encora is a general company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others.
At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

📌 Python/quantitative Analysis Developer (Ciudad de México)
🏢 Encora
📍 Ciudad de México