Deeter Analytics · Austin
OtherExecutionRemoteFullTimeposted 7mo ago
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.
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.
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.
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.
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.
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.
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.
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.