Risk Analytics Product Development / Data Scientist, Vp

State Street UK

Bangalore, India
On-site
Etl/elt pipelines
Sql, python/scala
Kafka/event hubs
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, enabling seamless client migration.
  • Partner with data scientists to enable model-ready datasets, feature engineering, and MLOps.

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
  • SQL, Python/Scala
  • Kafka/Event Hubs
  • Data modeling & quality
  • Feature engineering
  • MLOps practices
  • Agile delivery, CI/CD

Nice-to-have

  • Cloud platforms (Azure/AWS)
  • Spark/Databricks, dbt
  • Feature stores, model registries
  • Metadata-driven pipelines
  • AI landscape adaptability
  • AI output verification

Key Requirements

  • 10+ years 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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