Data Science and Risk Analytics in Finance and Insurance

Preface Part 1: Background and Basic Analytics 1. Risk management and regulation 2. Basic concepts and methods in risk management 3. Financial derivatives and their pricing theory 4. Insurance risk and credibility theory Part 2: Advanced Data and Risk Analytics 5. Supervised and unsupervised learning 6. Bandit, Markov decision process and reinforcement learning 7. Monte Carlo methods and rare event analytics 8. Surveillance and predictive analytics Part 3: Data and Risk Analytics in FinTech 9. FinTech ABCD and analytics Bibliography Index

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• Modelação matemática
• Probabilidade e Estatística
• Finanças

Risk Management;Insurance Risk;Supervised Learning;Unsupervised Learning;Markov Decision Process;Monte Carlo;FinTech