A Data and Analysis Summary

In addition to my consulting engagements I have authored a number of books and articles and have written and presented on:
  • Quantitative Risk Modelling using Heteroscadastic eGARCH models
  • Random forest proximities for visualisation
  • Text Data Mining and k-proximity associative maps
  • Robust Estimation (using C++ modelling)
  • Secure .Net coding
  • “R”
  • SPSS and SAS
  • Six Sigma
  • QR Algorithms for Real Hessenburg Matrices
  • Forward Time Centered Space (FTCS) differencing schemes and von Neumann Stability Analysis
  • Survival, Hazard and DREAD modelling

I have successfully completed the following engagements:

  • Quantitative risk assessments, (Based on HIPAA, BASEL II and various sections of the financial services legislation),
  • Developed AS/NZS 4360 audit and review frameworks for CUSCAL (Credit Union Services Corp Aust. Ltd).
  • Completed several cross departmental risk based assessments within the Australian Stock Exchange.
  • Has produced academically published papers on IT, Mathematics, HR and Business Strategy
  • Created Models using Spectral Analysis for the forensic verification of audio data
  • The development of Continuous Audit and Fraud Detection Techniques
ALGORITHMIC DESIGN
Craig has completed the following engagements:
  • Fraud risk analysis (A risk modelling exercise for a retain chain recently)
  • Forensic and Risk modelling
I am adept with the use of:
  • Models derived with Local Martingales which are not Martingales
  • The use of the Stieltjes Integral
  • Lebesgue-Stieltjes Integral
  • Semimartingales
  • Approximation via Riemann Sums
  • Exponential Martingales
  • Levy Characterisation of Brownian Motion
  • Gaussian Martingales
  • Girsanov's Theorem
  • The Brownian Martingale Representation Theorem
I have completed academic work on:
  • The Dirichlet Problem
  • The Cauchy Problem
  • The Feynman-Kac Representation
I have used Stochastic Filtering in engineering and forensic work including:
  • Signal Processing
  • Unnormalised Conditional Distributions
  • Zakai Equation
  • Kushner-Stratonowich Equation
  • Gronwall's Inequality
  • Kalman Filters
I am familiar and adept with both Continuous and Discontinuous Stochastic Calculus prefering Bayesian Inferential techniques, but am adept in Frequentist methods. I have worked with Generalised Additive model (GAM) and both nonparametric, semi-parametric methods on a daily basis.

Some projects with these have incorporated the following:
  • Accounting system fraud modelling
  • Market Risk Analysis
  • Climate Modelling
  • Spectral analysis of digital recorders for a forensic assignment
I work extensively with LDA (both linear discriminant analysis and Longitudinal Data Analysis).
  • Modelling the cross tabulation of stock movement (this is generally fitted to a logistic random effects model). This is collected with a combination of MAR, MNAR and MCAR missing data techniques.
Recently I have been introducing advanced non-linear time series methods such as the following his models:
  • Whitley’s embedding theorem,
  • Taken’s Delay embeddeding theorem, and
  • Filtered Delay embeddings
I have also been working on non-linear system coupling for fraud modelling using chaos techniques such as transfer entropy and Henon maps.

Some of my recent client engagements include
  • Static Code analysis for Centrebet
  • Business analysis using DATs (Digital Analysis Technology) for a Marine Sales Company in NSW
  • BCP reviews for a number of Credit Unions
  • Data Conversion testing for a number of Credit Unions
  • IT Security and Risk reviews for several Credit Unions
  • SOX IT review and audit for GTN