Consumer Credit Risk Engineering Director

Brightonparkbank

Pune, India
Not specified
Data pipelines and warehouses
Microservices architecture and resiliency
Big data technologies (hadoop, spark)
Brightonparkbank is seeking a Consumer Credit Risk Engineering Director in Pune, India, to lead the development of data architectures and drive strategies for data management within the retail banking sector. The ideal candidate will have extensive experience in big data technologies, leadership in engineering teams, and a strong understanding of data governance

Job Summary

  • Lead the design, development, and maintenance of data infrastructure for critical, rapidly growing consumer credit risk programs.
  • Manage teams operating in modern full-stack development practices to build enterprise data products for risk analysis and regulatory reporting.
  • Collaborate with senior leadership and cross-functional teams to align data initiatives with overall company strategy and drive data-driven decision-making.

Matching Summary

Match Score: 85

Brightonparkbank is seeking a Consumer Credit Risk Engineering Director in Pune, India, to lead the development of data architectures and drive strategies for data management within the retail banking sector. The ideal candidate will have extensive experience in big data technologies, leadership in engineering teams, and a strong understanding of data governance.

Skills & Requirements

Must-have

  • Data pipelines and warehouses
  • Microservices architecture and resiliency
  • Big data technologies (Hadoop, Spark)
  • Cloud data warehousing solutions
  • Full-stack development practices
  • Team leadership and management

Nice-to-have

  • Agile and SaFe frameworks
  • Fast-paced, customer-oriented environment
  • Retail banking credit risk experience
  • Continuous improvement and technical excellence

Key Requirements

  • Solid foundation in computer science fundamentals
  • Demonstrated leadership for large engineering organizations
  • Experience building Datawarehouse using Ab Initio or similar tools
  • Proficiency in data warehousing solutions (Snowflake, Redshift, Databricks, DBT, Starburst, Athena, AWS-Glue)
  • Exposure to automated testing and continuous delivery
  • Familiarity with machine learning and AI technologies

Work Rights

Not specified

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