Areas of expertise

Our areas of expertise include the following:

  • General Machine Learning (ML) / Artificial Intelligence (AI), data science
  • Artificial Neural Networks (ANNs), deep learning (DL)
  • Reinforcement learning, deep reinforcement learning
  • Neocybernetics
  • Time series analysis, econometrics, including high-frequency time series analysis
  • Bayesian and frequentist data analysis
  • Stochastic filtering (Kalman filtering, “Kalmanesque” filtering, particle filtering)
  • Markov chain Monte Carlo methods (MCMC)
  • Big and high-frequency databases, kdb+/q
  • Automation
  • Functional reactive programming (FRP) for real-time, reactive systems
  • Software development: kdb+/q, Python, VBA, Java, C++
  • Low-latency software development, including specialised hardware (GPUs, FPGAs)
  • Quantitative finance, derivative pricing
  • Trading signals across assets, including cryptocurrencies and FX
  • Trading strategies, optimal execution
  • Risk analysis and management
  • Electronic credit (credit indices, corporate bonds)
  • Market microstructure analysis
  • Market impact analysis


Within each of the above area of experise, we provide the following services:

  • Consulting
  • Education
  • In-house trainings
  • Interviewing for quants, data scientists, and ML/AI experts
  • Trading signal generation
  • Software development
  • Code reviews


Our clients include:

  • Major sell-side financial institutions, investment banks
  • Major buy-side financial institutions, hedge funds
  • Market making companies
  • Software companies
  • High-performance computing (HPC) companies
  • Medical organisations
  • Government agencies
  • Training and consulting companies
  • Startups, especially in the fintech sector