Quant Finance Projects

Market Data Ingestion and Lakehouse

• Context: Diverse vendor feeds with varying SLAs.
• Approach: Stream + batch ingestion, schema registry, Delta/Iceberg tables, late data handling.
• Outcome: Reliable, queryable history; cheaper backfills and faster research.

Signal Research Toolkit

• Context: Fragmented research workflows.
• Approach: Standardized factor library, cross-sectional testing, risk model integration.
• Outcome: Reproducible studies; faster iteration.