Job description
Role overview
Develop and maintain Python-based applications for credit risk modeling and data-driven solutions. Implement risk models using modern software engineering practices and cloud infrastructure. Collaborate with cross-functional teams to optimize data pipelines and improve analytical accuracy.
Key requirements
- 8+ years of professional Python development experience
- Strong SQL skills with database optimization
- Knowledge of credit risk concepts and financial data modeling
- Experience with cloud platforms (AWS/Azure/GCP)
- Proven ability to deliver scalable backend solutions
Responsibilities
- Design and implement Python applications for credit risk analysis
- Develop and maintain data pipelines for risk modeling
- Integrate machine learning models into production systems
- Collaborate with data scientists on analytical solutions
- Optimize database queries and data storage architecture
Requirements
- 8-10 years Python development experience
- Advanced SQL skills with relational databases
- Understanding of credit risk frameworks
- Cloud platform experience (AWS/Azure/GCP)
- Experience with CI/CD and DevOps practices
Benefits
- Competitive hourly rate for contract role
- Flexible remote work options
- Professional development budget
- Collaborative fintech environment
- Performance-based project bonuses
Keywords
PythonSQLcredit riskcloud computingdata engineeringrisk modelingsoftware developmentAWSdata pipelinescloud infrastructure