Python Developer - Market Risk Data Engineer (Hybrid, 6Mo)

BELVEDERE; Warszawa; Hybrid; PLN 134,000 - 201,000; Full time

Benefits offered by this job

Competitive day rate

Flexible working arrangements

Exposure to enterprise-scale platforms

Job summary

BELVEDERE seeks a Python Developer to support Market Risk & Data Management in Warsaw. You will develop and maintain market risk calculation systems, data sourcing frameworks, and validation processes for HPL, RTPL, and HVaR.

The role involves collaboration with risk and tech teams on complex data pipelines. The position requires strong Python, SQL, and C# skills, with experience in big data environments and DevOps practices.

Qualifications

• 6–8 years of software development experience.
• Strong Python programming for data processing.
• Experience with Oracle SQL for data manipulation and querying.
• Knowledge of market risk concepts and calculations.
• Experience with MapR or Hadoop ecosystems.
• Familiarity with C# and DevOps practices.
• Good written and spoken English.

Responsibilities

• Develop and maintain ACE calculations for HPL, RTPL, and HVaR metrics.
• Build Python-based data sourcing frameworks for historical data stores.
• Implement data quality checks and data filling logic.
• Work with big data platforms including MapR or Hadoop ecosystem.
• Write and optimize SQL queries for data extraction and validation.
• Collaborate with risk managers to understand calculation requirements.
• Support CI/CD pipelines and DevOps practices.
• Troubleshoot and resolve data and calculation issues.
• Document technical solutions and maintain coding standards.

Skills

Python

SQL

C#

Big data

CI/CD

DevOps

English

Tools

MapR/Hadoop

Oracle SQL

Job description

BELVEDERE seeks a Python Developer to support Market Risk & Data Management in Warsaw. You will develop and maintain market risk calculation systems, data sourcing frameworks, and validation processes for HPL, RTPL, and HVaR.

The role involves collaboration with risk and tech teams on complex data pipelines. The position requires strong Python, SQL, and C# skills, with experience in big data environments and DevOps practices.