Risk Analytics Product Development / Data Scientist, Vp
State Street UK
Bengaluru, India
Hybrid
Etl/elt pipelines for financial services
Sql (sql server/oracle)
Python/scala
Design, build, and operate robust data integration and analytics pipelines that power State Street’s risk analytics and reporting products
Job Summary
Design, build, and operate robust data integration and analytics pipelines that power State Street’s risk analytics and reporting products.
Execute the risk data integration roadmap, modernize legacy data movements to event-driven/streaming and cloud patterns, and enable seamless migration of clients.
Partner with data scientists to design feature pipelines, curate training and inference datasets, implement feature-store patterns, and operationalize model scoring and monitoring.
Matching Summary
Design, build, and operate robust data integration and analytics pipelines that power State Street’s risk analytics and reporting products.
Skills & Requirements
Must-have
ETL/ELT pipelines for financial services
SQL (SQL Server/Oracle)
Python/Scala
Workflow/orchestration tools
Kafka/Event Hubs
Data modelling & quality
Feature engineering
Model deployment/monitoring
Agile delivery
CI/CD
Git workflows
Nice-to-have
Cloud platforms (Azure/AWS)
Spark/Databricks
dbt
Infrastructure-as-code
Feature stores
Model registries
MLflow
Feast
EvidentlyAI
Key Requirements
10+ years total experience in data integration / data engineering / data science
5+ years building production pipelines for financial data
3+ years leading technical delivery or small teams
Bachelor’s degree in computer science, Engineering, Information Systems, Mathematics or related field
Demonstrated success delivering change in complex global environments