Credit Risk Data Engineer - New York, NY - RDE26-06669
About The Position
Seeking a Senior Credit Risk Data Engineer with expertise in Python, SQL, Databricks, and PySpark to develop and support data pipelines for Counterparty Credit Risk (CCR) platforms, risk analytics, and regulatory reporting. The role involves designing, developing, and maintaining scalable data pipelines for various financial data, building ETL/ELT solutions, integrating risk and trading data, and partnering with cross-functional teams to deliver data solutions. The engineer will also be responsible for ensuring data quality, supporting exposure analytics, investigating and resolving production issues, implementing automation, and leading platform enhancements. Additionally, maintaining technical documentation and supporting audit requests are key aspects of the position.
Requirements
- 10+ years of experience in Python development and advanced SQL programming.
- 5+ years of experience in Data Engineering, Data Integration, or Enterprise Data Management within Financial Services.
- 3+ years supporting Risk, Exposure Management, or Counterparty Credit Risk platforms in a senior technical leadership capacity.
- 3+ years of hands-on experience with Databricks and PySpark for large-scale data processing and ETL development.
- Experience working within globally distributed support and delivery models.
Nice To Haves
- Strong experience with Python, SQL, PySpark, Databricks, and Snowflake.
- Experience building ETL/ELT pipelines and large-scale data integration solutions.
- Knowledge of Counterparty Credit Risk (CCR), including EPE, PFE, EAD, collateral, and exposure management.
- Experience with Azure Cloud, Data Lakes, ADF, and distributed data processing frameworks.
- Familiarity with CI/CD tools such as Jenkins, GitLab CI, or Azure DevOps.
- Experience working in Agile environments using JIRA and Confluence.
Responsibilities
- Design, develop, and maintain scalable data pipelines for counterparty, trade, collateral, and market data integration.
- Build and support ETL/ELT solutions using Python, PySpark, Databricks, and SQL.
- Integrate risk and trading data into Counterparty Credit Risk (CCR) calculation and reporting platforms.
- Partner with Risk, Business Analysts, and Technology teams to gather requirements and deliver data solutions.
- Ensure data quality, reconciliation, monitoring, and governance across risk data platforms.
- Support exposure analytics, including EPE, PFE, EAD, stress testing, and regulatory reporting.
- Investigate and resolve data and production issues through root cause analysis and permanent fixes.
- Implement automation, monitoring, and operational improvements to enhance platform reliability.
- Lead platform enhancements, migrations, and strategic data initiatives.
- Maintain technical documentation and support audit and regulatory data requests.
Benefits
- Most competitive pay for every position
- Salary will be discussed upfront
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
