Building Teams That Actually Know What They're Doing
When your finance team needs to predict market movements instead of just reacting to them, generic courses won't cut it. We train your people on predictive modeling that works in real trading floors.
Why Companies Come to Us
Three years ago, a hedge fund manager told us their analysts were using Excel like it was 1995. They needed predictive models, not spreadsheets. We built a program around their actual data, their actual problems.
Your Data, Your Problems
We don't teach theory in a vacuum. Bring us your portfolio data, your risk assessments, your failed prediction attempts. That's what we'll work with during training sessions.
Teams Learn Together
Your analysts need to speak the same language when they're building models. We train groups of 8-15 people at once so they develop shared workflows and can actually collaborate after we leave.
Fits Your Schedule
Markets don't close so your team can attend training. We run intensive 3-day workshops or spread the same content across eight weeks of evening sessions. Your choice based on what actually works.
How We Structure Corporate Training
Last month, an investment firm asked us to train their team on time series forecasting for commodity prices. They had six analysts with different backgrounds and two weeks before quarterly planning. Here's what we did.
Pre-Training Assessment
We spend two hours with your team before any training starts. What models are they already using? What's actually breaking? Where do they get stuck? This shapes everything that follows.
Hands-On With Your Infrastructure
If your team uses Python, we train in Python. If you're stuck with legacy systems, we show them how to build models that export to those systems. No point teaching tools they can't use at work.
Real Model Building
During the workshop, your team builds complete predictive models using your actual business scenarios. By day three, they have working code they can adapt for production use.
Post-Training Support
Three months of email support after the workshop ends. When they hit problems deploying models or need to adapt techniques to new data, we're available to troubleshoot.
What Happens After Training
We follow up with companies six months later to see what actually stuck. Here's what two recent clients told us about using predictive modeling in their daily work.
Our risk management team was drowning in manual calculations every quarter. After the workshop, they built an automated forecasting system that cut preparation time from two weeks to three days. But the real win was confidence. They now understand why the model makes certain predictions, so they can explain risk assessments to executives instead of just presenting numbers.
We sent four junior analysts through the program expecting they'd need months to apply anything. Wrong. Within three weeks, they'd rebuilt our commodity price forecasts with better accuracy than our old vendor models. The training focused so heavily on real implementation that they knew exactly how to handle our messy data and legacy reporting requirements from day one.
