Apptad-Senior Data Engineer with Credit Risk

Job Title: Senior Data Engineer with Credit Risk

Job Location: New York NY (Need Onsite day 1 hybrid 3 days from office).
Job duration: Full Time

Our challenge

We are seeking a highly skilled and experienced Application Engineer and Data Architect to join our dynamic Team. As a senior member of the team candidate will play a critical role in designing implementing and maintaining the application infrastructure. Candidate expertise will help drive innovative data solutions and ensure platform reliability security and performance.

Responsibilities:

• Lead architecture and technical design discussions considering industry-standard technologies and best practices.
• Support production operations and resolve complex production issues as a senior developer within the Credit Risk application team.
• Design and implement batch and ad-hoc data pipelines based on Medallion Lakehouse architecture using modern cloud data engineering patterns primarily in Databricks.
• Build and maintain data ingestion flows from upstream systems into object storage (e.g. S3 ADLS) using formats like Parquet including advanced features such as partitioning z-ordering and schema evolution.
• Integrate with external XVA/risk engines and implement orchestration logic to manage long-running external computations.
• Model and optimize risk measures (e.g. EPE PFE) for efficient querying and consumption by BI tools notebooks and downstream applications.
• Ensure platform reliability observability security (IAM roles OIDC/Bearer token authentication encryption) and auditability.
• Contribute to API design for internal and external customers focusing on versioning error handling and SLAs with proper documentation.

Requirements:

• 12-15 years of work experience as an application developer.
• AWS Certified Cloud Practitioner (or an equivalent cloud certification; Level to be confirmed).
• Proficiency in REST API development using frameworks such as Django Flask FastAPI or similar.
• Strong domain expertise in Credit Risk and Counterparty Risk.
• Expert-level proficiency in Python including experience with PySpark/Spark for data engineering and analytics.
• Hands-on experience with Azure Databricks including Medallion Lakehouse Architecture.
• Solid understanding of SQL including joins unions stored procedures and query optimization.
• Familiarity with front-end and back-end development (experience is a plus).
• In-depth knowledge of CI/CD pipelines utilizing Git Jenkins and Azure DevOps.
• Exposure to technical architecture design (preferred).
• Experience in creating product specifications architecture diagrams and design documents.
• Proven experience working in an Agile environment using tools like JIRA Confluence and Zephyr.
• Strong communication skills to clearly articulate complex ideas.
• Collaborative team player with a proactive self-starter attitude.
• Demonstrated ability to quickly learn new technologies.
• Passion for coding development and continuous improvement.

Preferred but not required:

• Advanced degree in Finance Computer Science or related discipline.
• Experience with risk modeling and financial analytics.

• Knowledge of deployment operational support and monitoring tools