Risk Management System Optimization

I'm seeking a statistical expert to enhance my risk management system, specifically targeting issues with calculating Inherent and Residual Risk. I've devised a new model, but I'm running into problems and need assistance with the algorithms.

Key Issues:
- Inaccurate risk calculations: My current model is yielding incorrect outputs, and I need someone who can help troubleshoot and refine the calculations.
- Synthetic data: My model uses synthetic data. An understanding of how to effectively apply this data for risk calculations is crucial.

Ideal Skills and Experience:
- Proficiency in statistical techniques: While I have not specified a particular technique, experience with methods such as regression analysis, Monte Carlo simulation, and Bayesian inference will be advantageous.
- Data Analysis: Strong data analysis skills are necessary to interpret the synthetic data and improve the model's accuracy.
- Problem-Solving: A proven track record of identifying and solving complex statistical issues.

I am not familiar with the statistical methods needed for this project and would appreciate assistance in implementing a robust solution.