Try for free
The Next Era of Quant Finance: Artificial Intelligence in Finance
Event PAST

The Next Era of Quant Finance: Artificial Intelligence in Finance

16 June Online

Join this event

🎟️ Register / View Event Details

About this event

The Next Era of Quant Finance: Artificial Intelligence in Finance

Financial markets generate an unprecedented amount of data, but extracting actionable alpha requires moving beyond traditional statistics. How are top institutions leveraging Deep Learning and Big Data to build robust financial models?

Join our next AIFI webinar for a deep dive into the architectures transforming our industry. We will explore the shift from basic supervised learning to advanced neural network architectures, giving you a preview of the intensive curriculum at the upcoming Artificial Intelligence Finance Institute Summer Bootcamp, running from July 27th to August 1st, 2026.

If you are a Data Scientist, Quant, or Risk Manager, this session will break down how we bridge the gap between theory and real-world trading infrastructure. What we will cover in the webinar: Unsupervised learning techniques, including Clustering, Auto-Encoders, and Principal Component Analysis (PCA).Deep Learning architectures tailored for finance, such as Recurrent Neural Networks (RNNs) and Long Short-Term Memory Networks (LSTMs), LLMs and Agents. A look into our 40-hour immersive program format, featuring lectures, practical Python coding sessions, and expert speakers. Don't miss the chance to learn how to understand and implement these cutting-edge AI techniques.

Audience: Quantitative Analysts, Data Scientists, and Risk Managers looking to upgrade their predictive modeling capabilities.

📍 Bootcamp Format: Join us in person at the NYU Tandon Campus or online.
🎟️ Reminder: Secure our Super Early Bird Discount of 20% by registering before June 19th, 2026.Register for the webinar here: https://www.wbstraining.com/events/aifi/

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 DevFound.ai. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.

Still have questions?

Contact Support