Description

Must-Have Skills
✔ 10+ Years of Python Development & Advanced SQL
✔ Databricks & PySpark (3+ Years)
✔ Enterprise Data Engineering & ETL/ELT
✔ Snowflake
✔ Azure Data Lake & Azure Data Factory (ADF)
✔ Apache Kafka & Spark
✔ Data Warehousing & Data Lakes
✔ CI/CD – Jenkins, GitLab CI, Azure DevOps
✔ JIRA & Confluence
✔ Power BI
✔ Stored Procedures
💼 Counterparty Credit Risk (CCR) Expertise
✔ Exposure Management (EM)
✔ Counterparty Credit Risk (CCR)
✔ EPE, PFE & EAD Calculations
✔ Collateral & Margin Management
✔ Netting & Trade Lifecycle
✔ Market Data Integration
✔ Stress Testing & What-If Analysis
✔ Basel Regulatory Reporting
✔ Data Governance, Reconciliation & Auditability
☁️ Cloud & Modern Data Platforms
✔ Azure Cloud
✔ Databricks Medallion Architecture
✔ Unity Catalog
✔ Workflow Orchestration & Complex DAGs
✔ Airflow / Astronomer (Preferred)
📌 Key Responsibilities
🔹 Design, build, and optimize scalable ETL/ELT pipelines for Counterparty Credit Risk platforms
🔹 Integrate trade, collateral, market, and exposure data for enterprise risk analytics
🔹 Develop robust data quality, reconciliation, monitoring, and automation frameworks
🔹 Drive production support, root cause analysis (RCA), and continuous improvement initiatives
🔹 Partner with Risk Analytics, Business, and Technology teams to deliver scalable CCR solutions
🔹 Lead strategic data modernization, platform migration, and automation initiatives
➕ Preferred Qualifications
✅ Financial Services / Investment Banking Experience
✅ Counterparty Credit Risk (CCR) Domain Expertise
✅ Agile Development Methodology
✅ Strong Leadership, Communication & Stakeholder Management Skills

Key Skills

Education

Any Gradute