You will design and maintain automated pipelines that ingest, clean, and normalize:
News, filings, earnings calls, macro releases
Social and sentiment data
Alternative and proprietary datasets
Your job is to replace manual refresh workflows with push-based alerts that surface only what matters — mapped directly to:
Watchlists
Live positions
Risk exposure
Reliability matters. Latency matters. Silence matters.
You will deploy LLM-powered systems to summarize, extract, compare, and reason over:
10-Ks, 10-Qs, earnings calls, central bank minutes
Sell-side research and internal notes
You will build “chat with our data” tools that allow traders to query proprietary research in natural language.
You will also create tools for fast discretionary back-testing:
How did this asset behave during the last three macro shocks of this type?
You will build the filters that decide what breaks through.
Sentiment and relevance scoring
Entity recognition that maps events to exposure
Dashboards that surface regimes, anomalies, and dislocations — not vanity metrics
If something matters, it should scream. If it doesn’t, it should disappear.
You own the compute layer that runs the intelligence system.
Cloud and/or local GPU infrastructure
Vector databases and retrieval systems
Data-privacy-first architectures (local models where required)
You choose the architecture. You ship what runs fastest and breaks least. Our proprietary data and strategies do not leak. Ever.

Head of Applied AI – Trading Systems

Key skills