The convergence of Artificial Intelligence (AI) and Quantum Computing is set to revolutionize financial modeling and risk assessment, offering unprecedented computational power and predictive accuracy. Traditional financial models often struggle with high-dimensional data, market volatility, and complex interdependencies. AI-driven machine learning algorithms enhance predictive capabilities, while quantum computing’s ability to process vast datasets and solve optimization problems exponentially faster opens new frontiers in financial analytics. This paper explores the synergies between AI and quantum computing in risk assessment, portfolio optimization, fraud detection, and algorithmic trading. It also discusses the challenges of implementation, including data security, regulatory concerns, and the need for quantum-ready financial infrastructure. As quantum computing matures, integrating AI with quantum algorithms could redefine financial decision-making, enabling real-time risk evaluation and more resilient financial systems.