Ruxton Advisors
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Advanced analytics applied to finance

With significant experience coding in C, C++, Python,and R we have developed numerous quantitative techniques. We provide methods that run in real time utilizing CUDA powered GPU's and Xeon powered Phi cards. We also develop accessible graphics using ggplot2, and Tableau.

Hardware Expertise

Explicit and implicit hardware experience
  • Intel Phi 3100 and 5100 series
  • nVidea GTX, Quadro, and Tesla
  • Intel Xeon multi-processor chips
  • Networked supercomputing

Operating systems

Linux​/Unix
  • Ubuntu
  • Centos
  • Redhat
DOS
​OSX

Languages

  • C & C++
  • CUDA C and NSight
  • Intel C++ and Parallel Studio
  • Python & Per
  • R, Matlab, and Sage
  • SQL & Hadoop

Techniques

  • Finite Difference
  • Monte Carlo
  • Maximum Likelihood
  • Orthogonal Polynomial Integration

More Information
  • Home
  • Big Financial Data
  • LiftRisk™ Aircraft Finance
  • High Performance Financial Computing
  • About Ruxton
  • AAL EETC Case Study