Risk Analytics Product Development / Data Scientist, Vp

State Street Corporation

Bangalore, India
On-site
Etl/elt pipelines for financial services
Sql, python/scala, workflow tools
Kafka/event hubs integration patterns
Design, build, and operate robust data integration and analytics pipelines for risk analytics and reporting products

Job Summary

  • Design, build, and operate robust data integration and analytics pipelines for risk analytics and reporting products.
  • Modernize legacy data movements to event-driven/streaming and cloud patterns, and enable seamless client migration.
  • Partner with data scientists to design feature pipelines, curate datasets, and operationalize model scoring and monitoring.

Matching Summary

Design, build, and operate robust data integration and analytics pipelines for risk analytics and reporting products.

Skills & Requirements

Must-have

  • ETL/ELT pipelines for financial services
  • SQL, Python/Scala, workflow tools
  • Kafka/Event Hubs integration patterns
  • Data modeling and quality
  • Applied data science and MLOps
  • Agile delivery and CI/CD

Nice-to-have

  • Cloud platforms (Azure/AWS)
  • Feature stores and model registries
  • Enterprise controls for financial services
  • Metadata-driven pipelines
  • Adaptability to AI landscape

Key Requirements

  • 10+ years in data integration/engineering/science
  • 5+ years building production pipelines for financial data
  • 3+ years leading technical delivery
  • Bachelor's degree in Computer Science or related field

Work Rights

Not specified

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