Tech-Decoder x QuaintQuant Con
Where AI meets quantitative finance. We're partnering with the Quaint Quant Conference to bring a dedicated AI track to Dallas — exploring how frontier models, agentic systems, and machine learning are reshaping markets, risk, and strategy.
Location
Dallas, Texas
Date
October 17-18, 2026
Focus
AI & Quantitative Finance
Topics We're Looking For
Frontier Models in Finance
LLMs for market analysis, earnings calls, financial reasoning, and automated research.
Agentic Trading Systems
Autonomous agents for portfolio management, execution, and multi-step decision making.
Risk & Anomaly Detection
ML-driven approaches to risk modeling, fraud detection, and market surveillance.
Alternative Data & NLP
Sentiment analysis, news processing, satellite imagery, and non-traditional data sources.
AI Safety in Financial Systems
Alignment, interpretability, and robustness for high-stakes automated decision making.
Open Source & Reproducibility
Open models for quant research, reproducible pipelines, and community-driven tooling.
Submit a Talk
Got something worth saying? We're looking for 20-minute talks and 5-minute lightning talks. Industry practitioners, researchers, and students all welcome. Deadline: August 15, 2026.
Join the Program Committee
Help us shape the AI track. Program committee members review talk submissions, suggest speakers, and help curate the best possible lineup. We're looking for folks with expertise in:
- - Quantitative finance / algorithmic trading
- - Machine learning research or engineering
- - AI safety / alignment / interpretability
- - NLP / LLMs / agentic systems
- - Data science in financial services
Commitment: ~5 hours total reviewing submissions in August. Committee members receive complimentary conference passes and are acknowledged on-site and in all materials.
Key Dates
| Talk submissions open | Now |
| Program committee applications close | July 31, 2026 |
| Talk submission deadline | August 15, 2026 |
| Acceptance notifications | September 1, 2026 |
| Conference | October 17-18, 2026 |
In partnership with