CAT-Based Response System / Data-Heavy Engineering

Project: New CAT-based response system focused heavily on large-scale trade data. The initiative is moving away from the traditional Blue Sheets mechanism, where investigators request PII and trade data, toward using CAT-based data to support investigations while reducing reliance on PII.

This is a highly collaborative initiative involving multiple teams, including a gateway team, with downstream impact to surveillance capabilities.

Key Skills / Profile

• Strong software/application engineers with a solid understanding of data
• Strong algorithmic/problem-solving skills; ability to identify patterns and relationships across large datasets
• Java or Python
• Strong AWS knowledge
• AWS Glue
• Athena
• ETL/data processing
• Apache Spark
• Familiarity with Presto and/or Trino
• Experience with AWS big-data services
• Understanding of data connections, integrations, and data flows
• Experience using GenAI tools for code generation
• GenAI will also be incorporated into the solution itself, not just used as a developer productivity tool

Ideal Candidate: This is not purely a traditional data-engineering role. They want a strong application/software engineer who is comfortable working with data-intensive systems, algorithms, AWS, and distributed data technologies.

Overall Candidate Themes

Across the openings, the strongest candidates will combine solid software engineering fundamentals, AWS experience, production-system experience, and practical familiarity with GenAI-assisted development. Pradeep's roles lean more toward GenAI-enabled investigation applications and integrations, while Venkat's roles are more data- and algorithm-heavy, with greater emphasis on Spark, ETL, Athena, Glue, and large-scale trade data.