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Fyrplex

Financial Predictive Intelligence

Built by Financial Innovators

Our team combines decades of quantitative finance experience with cutting-edge machine learning expertise. We're not just building models – we're reshaping how financial institutions understand market dynamics.

15+
Years Combined Experience
200M
Data Points Analyzed
50+
Models Deployed

The Minds Behind Fyrplex

Each team member brings unique perspectives from different corners of the financial world. From Wall Street trading floors to Asian market research labs, our diverse backgrounds fuel innovation.

Kestrel Bancroft profile photo

Kestrel Bancroft

Lead Data Scientist

Started analyzing market patterns at Goldman Sachs before diving deep into machine learning at MIT. Kestrel's background in behavioral economics helps our models account for the human element that traditional quantitative approaches often miss. His work on sentiment analysis integration has improved our prediction accuracy by 23%.

Machine Learning Risk Modeling Python Time Series
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Vesper Caldwell

Head of Quantitative Research

After six years developing algorithmic trading systems in Hong Kong, Vesper brings deep understanding of Asian financial markets. Her research on cross-market correlations became the foundation of our multi-asset prediction framework. She's particularly passionate about making complex financial concepts accessible through elegant mathematical models.

Quantitative Finance Algorithm Design R & MATLAB Statistical Analysis

Philosophy That Drives Results

We believe financial modeling shouldn't exist in isolation. The best predictions come from understanding both market mechanics and human behavior. That's why our team includes former traders, economists, and data scientists who've worked across different financial cultures.

  • Cross-cultural financial expertise spanning US, European, and Asian markets
  • Academic rigor meets real-world trading experience
  • Continuous learning culture with quarterly research initiatives
  • Open-source contributions to advance the entire fintech community
  • Collaboration with universities on cutting-edge financial research