• 5 years of Python development experience• 3+ years as Quantitative analyst• Background in Applied mathematics and Computer Science• Strong track record in financial modelling and research• Profound with Machine Learning and NLP• Excellent communication and presentation skillsSelected experience: • Oliver Wyman, UK: Implemented Monte Carlo cash flow simulation model for leading Dutch bank's Project Finance portfolio. Optimized costs, capital allocation, and portfolio risk evaluation.• Oliver Wyman, UK: Developed an LLM-powered early-warning system for large entities, enabling identification of emerging Portfolio Risk indicators• Oliver Wyman, Qatar: Developed a cloud-based PD (Probability of Default) model for corporate loans targeting sector market, achieving model performance up to 70% Gini • Oliver Wyman, Russia: Built and deployed multiple cloud based Risk assessment models targeting corporate sector leveraging Machine Learning, Deep Learning and Graph Analysis techniques, reaching models' performance up to 80\% Gini• PwC, Russia: Created a machine learning model for one of largest Steel Mining Companies in CIS to forecast potential delays in client's supply chains and deployed the model into client's business processes, covering potential future overdue of items of goods for the amount of 8M USD.• BeMyEye: Redeveloped Neural Network model for SKU image recognition within FMCG sector. Specifically focused on enhancing the model’s performance for the dairy products category, resulting in a notable 15 % increase in accuracy