Python Developer: Finance Risk & Data Pipelines

Evalueserve; Chile; Híbrido; CLP 18.000.000 - 30.000.000; Jornada completa

Descripción de la vacante

Evalueserve in Chile seeks a Python Developer to support the development, testing and implementation of Python applications for market risk analysis. You will join a global team serving major clients in finance.

You will build and maintain risk analysis tools, ETL pipelines, and data visuals using Pandas, NumPy, Matplotlib and Plotly; collaborate with quants and engineers to validate models, optimize performance, and deliver robust solutions.

Formación

• Bachelor’s or Master’s degree in a relevant field.
• 2+ years of experience in Python development, preferably in a financial institution.
• Understanding of financial markets and market risk concepts (e.g., VaR, sensitivities, risk factors).
• Experience with data manipulation libraries (e.g., Pandas, NumPy) and visualization tools (e.g., Matplotlib, Plotly).
• Familiarity with SQL and working with large datasets.
• Knowledge of version control systems (e.g., Git) and CI/CD pipelines.

Responsabilidades

• Develop and maintain Python applications for market risk analysis and reporting.
• Integrate risk models and data pipelines with internal systems and databases.
• Automate data extraction, transformation, and loading (ETL) processes.
• Collaborate with quantitative analysts to implement and validate risk models (e.g., VaR, stress testing).
• Optimize performance of large-scale data processing and analytics tasks.
• Write clean, testable, and well-documented code following best practices.
• Support ad-hoc risk analysis and reporting requests from stakeholders.

Conocimientos

Python

Pandas

NumPy

SQL

Git

CI/CD

Communication

Educación

Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Finance, or a related field

Herramientas

Matplotlib

Plotly

Descripción del empleo

Evalueserve in Chile seeks a Python Developer to support the development, testing and implementation of Python applications for market risk analysis. You will join a global team serving major clients in finance.

You will build and maintain risk analysis tools, ETL pipelines, and data visuals using Pandas, NumPy, Matplotlib and Plotly; collaborate with quants and engineers to validate models, optimize performance, and deliver robust solutions.