Risk Data Scientist
Core
Develop and optimize systems producing Key Risk Indicators (KRIs) for regulatory oversight and manage data migration from legacy systems to the cloud.
Role type
Risk Data Scientist
Builds
Regulatory KRI systems and cloud-based data pipelines
Domain
Banking / Financial Risk
Deliverable
production ML models
Required skills
Python, SQL, R, Cloud architecture, Data lineage management
Preferred skills
SAS, Legacy system migration
Technologies
Google BigQuery, Google Cloud, Teradata, SAS
Responsibilities
Develop and optimize systems producing Key Risk Indicators (KRIs) for regulatory oversight, Manage data migration from legacy Teradata and SAS systems to Google BigQuery, Build and maintain data lineage from production to final destination, Collaborate with stakeholders (IT, credit, compliance) and interface with regulatory authorities
Seniority
Mid-level (3-5 years experience)