Senior Data Engineer with Credit Risk
Core
Designing and maintaining application infrastructure and data pipelines for Credit Risk applications in a consulting environment.
Role type
Senior Data Engineer / Application Architect
Builds
Credit Risk applications, data pipelines, and risk modeling solutions for financial services clients.
Domain
Financial Services / Credit Risk
Deliverable
production ML models | product features | infrastructure
Required skills
Python, PySpark/Spark, SQL, AWS, Azure Databricks, Medallion Lakehouse Architecture, REST API development, CI/CD pipelines, risk modeling concepts
Preferred skills
Advanced degree in Finance or CS, risk modeling and financial analytics experience, front-end/back-end development knowledge
Technologies
Databricks, AWS, Azure, S3, ADLS, Parquet, Django, Flask, FastAPI, Git, Jenkins, Azure DevOps, JIRA, Confluence
Responsibilities
Lead architecture and technical design discussions; Support production operations and resolve complex issues; Design and implement batch and ad-hoc data pipelines; Build and maintain data ingestion flows; Integrate with external XVA/risk engines; Model and optimize risk measures; Ensure platform reliability, observability, and security; Contribute to API design.
Seniority
Senior, hands-on IC