Head of Applied AI & Trading Systems (Iron Man Track)

The Gist

• Deeter Analytics is a private investment firm managing approximately $500M across public markets, alternatives, and private investments.
• We are small, profitable, and aggressive.
• We don’t have committees. We have capital, judgment, and a need for speed.
• We are hiring a technical builder to sit directly beside the CIO and architect the firm’s intelligence layer — the system that determines how we see the market .
• This is not a quant role.
• This is not a reporting role.
• This is not a research-for-research’s-sake role.
• This is a Human-in-the-Loop AI role : building the Iron Man suit — an exoskeleton that allows a human trader to process 100× more information without losing intuition, discretion, or speed.
• This role sits at the center of our trading advantage.

The Problem

• Markets are noisy. Alpha comes from synthesis.
• We already have access to the data.
• The bottleneck is human bandwidth .

Too much time is spent

Refreshing feeds

• Reading things that don’t matter
• Manually stitching together signal across sources
• Latency kills insight. Insight kills latency.

The Mission

• Build the nervous system of the firm.

You will own the entire loop

• Ingestion → LLM synthesis → Trader decision

Your mandate is simple and brutal

• Reduce time-to-insight across the entire trading operation.
• If you surface a signal 10 minutes faster than the street, we win.
• If you automate away four hours of reading, we double our capacity.

What You Will Own

• 1. Information Pipelines (Kill the “F5” Key)
• 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.
• 2. AI-Augmented Research (A Live Analyst on the Desk)
• 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.

Example

• “Summarize the bear case from the last three earnings calls.”
• You will also create tools for fast discretionary back-testing:
• “How did this asset behave during the last three macro shocks of this type?”
• 3. Signal & Noise Filtering (Protect Attention)
• 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.
• 4. Infrastructure, Security & Reliability (Own the Stack)
• 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.

Who You Are

You Are a Founder-Hacker

You have likely

Built your own projects

Traded your own account

• Worked in a high-stakes startup, prop shop, or family office
• You hate waiting for permission.
• You like tools that get used today .

You Speak Python

• Python (Pandas, NumPy) is non-negotiable

You have hands-on experience with

LLMs and RAG architectures

• Prompting, evaluation, and failure modes
• Vector databases (Pinecone, Milvus, FAISS, etc.)
• Orchestration (LangChain, Airflow, or custom agents)
• REST & WebSocket APIs (market data, news, internal tools)
• Lightweight internal UIs (Streamlit, Dash, Retool, etc.)
• You know the difference between an LLM demo and a production system.
• You care about latency, hallucinations, and context windows.
• You Get Markets (Enough)
• You don’t need to be a portfolio manager — but you understand that:
• Financial data is messy, adversarial, and time-sensitive

Narratives are not facts

• A 10-K is not a blog post
• You are comfortable making judgment calls under uncertainty.

The Deeter Mindset

Co-Ownership Mentality

• This is not a role for staff augmentation or support work. We are looking for a technical partner who thinks in outcomes, edge, and shared P&L — and wants to win in a competitive, adversarial market.

We optimize for people who value

Pragmatism over theory

• You ship things that work by market open — not in six months.

Discretionary empathy

• Human judgment is the final decision engine.
• Your systems amplify it; they do not replace it.

Founder-level ownership

• You treat this system like your P&L depends on it — because it does.

Why This Role

Zero Latency

• You sit with the decision-makers. You push code. We use it the same day.

Real Impact

• You are not optimizing ad clicks. You are building the intelligence engine for a $500M portfolio.

Sovereignty

• No middle management. No reporting theater. Just results.

To Apply

• Do not send a cover letter.

Send

A GitHub

• A project you’re proud of
• Or a short note on how you would architect a real-time news filter for a trading desk
• We care about how you think and what you build.

Originally posted on Himalayas