• Statistical Analysis: evaluation and processing of time series, implementation of stochastic calculus and econometric testing: regression analysis to model expected value, polynomial fitting, polynomial interpolation, Bayesian statistics, Hypothesis testing
• Quantitative Analysis: development of financial models in MATLAB, development of trading system based on probability methods, validation of trading system model, out-sample analysis, back and forward testing, SQL Server and ACCESS query using Matlab, optimizations of quantitative models by Monte Carlo methods;
• Applied Mathematics: statistical and mathematical modeling for financial markets, optimization of trading system by back and forward testing, Monte Carlo simulations, matrix handling, building of complex algorithms in MATLAB linked to SQL Server, ACCESS, DOT. NET, numerical analysis, scientific computing, C++ algorithms such as: handling of vectors and matrices, initializing matrix, triangularization of matrix, Pivoting methods, Gauss’s method, Jacobi method, linear regression, Bisection method, Newton’s method, Secant method, Mathematics of Finance: risk and immunization policies, derivatives pricing based on Black and Scholes model
• Macroeconomic Analysis: evaluation of statistics indicators, Building of macroeconomic scenario, forecasting Central Bank’s policy, projection of macroeconomic scenario
• Broker Technology: deep knowledge of Interactive Brokers’s technology infrastructure of routing, especially of Application Programming Interface (API) to create a own automate rule-based trading system that takes advantage of our high-speed order routing and broad market coverage. (VB.NET , MATLAB. SQL SERVER LANGUAGE)
• Programming: deep knowledge of MATLAB/Simulink, VB.NET, VBA, ACCESS, (7 years), good knowledge of C++, SQL Server. (1 year), Latex.
• Knowledge of EU Legislation in the field of State Aid: Deep experience and knowledge of EU legislation and rules in the field of State Aid