Deeter Analytics · 4 days ago
Head of Applied AI & Trading Systems (Iron Man Track)
United States
Full-time
Remote
Director/ExecutiveDeeter Analytics is a privately held investment research and trading firm managing approximately $500M across public markets, alternatives, and private investments. They are seeking a Head of Applied AI & Trading Systems to build and own the technical layer that enhances their discretionary investment process, focusing on reducing time-to-insight and deploying AI systems for real-time decision-making.
Financial Services
Responsibilities
Design and maintain automated pipelines that ingest news, filings, earnings calls, macro releases, social and sentiment data, and alternative and proprietary datasets
Replace manual 'F5' workflows with push-based alerts that surface only what matters
Maintain high-reliability API integrations with trading, research, and data platforms
Deploy LLMs to summarize, extract, and compare 10-Ks, 10-Qs, earnings calls, central bank minutes, sell-side research, and internal notes
Build 'chat with our data' interfaces so traders can query proprietary research in natural language
Create tools for fast discretionary back-testing
Build sentiment and relevance scoring for news and social data
Implement entity recognition that maps breaking events to watchlists, live positions, and risk exposure
Develop dashboards that surface regimes, anomalies, and dislocations
Manage cloud and/or local GPU infrastructure for inference and data processing
Implement data-privacy-first architectures (local models where required)
Ensure the firm’s proprietary data and strategies never leak
Qualification
Required
Python (Pandas, NumPy) — non-negotiable
Experience with vector databases (Pinecone, Milvus, FAISS, etc.)
Experience with orchestration / pipelines (LangChain, Airflow, custom agents)
Experience with REST & WebSocket APIs (financial data, social feeds, internal tools)
Hands-on experience with LLMs
Hands-on experience with RAG architectures
Hands-on experience with prompting and model evaluation
Ability to build lightweight internal tools (Streamlit, Dash, Retool, etc.)
Comfortable reasoning from data related to markets and companies, including market data (prices, volume, volatility, curves, spreads, positioning, regimes)
Comfortable reasoning from data related to companies (financials, fundamentals, disclosures)
Comfortable reasoning from company media and event-driven information, evaluated critically rather than narratively
Worked in or around high-autonomy, high-stakes environments (e.g., prop trading, family office, startup, or similar)
Comfortable making judgment calls under uncertainty
Pragmatism over theory
Discretionary empathy
Founder-level ownership
Company
Deeter Analytics
Turning market data into decisive action
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase