Reshaping Financial Risk Management With AI Enabled Synthetic Data

Financial institutions have historically relied on historical data to assess risk. However, this approach often falls short in capturing the dynamic nature of the financial ecosystem. Rapid shifts and emerging trends can leave traditional risk models vulnerable. This paper explores a transformative solution: the integration of Artificial Intelligence (AI) and synthetic data in financial risk management.

By leveraging AI algorithms to generate synthetic data that mimics real-world scenarios, institutions can overcome data limitations and build more robust risk models. This empowers them to navigate the ever-changing regulatory landscape with greater agility. This paper delves into the specific ways AI and synthetic data are transforming financial risk management, exploring the benefits and potential challenges associated with this innovative approach.

Read more here >>Ā  NAVIGATING THE RISKSCAPE

Author Details

Shatanjay Singh

Shatanjay Singh is a Principal Consultant at Infosys Consulting and has strong experience in leading large-scale transformations programs for financial services, defining business and operating models for RegTech, FinTech, and AI-driven Financial Risk Management. Shatanjay Singh has a passion for leveraging Artificial Intelligence (AI) to address intricate problems in financial risk management.

Anmol Jain

Anmol Jain is the Managing Director of Infosys ConsultingĀ“s APAC region. He has been with Infosys Consulting since 2013 and has a strong experience in leading large-scale core and digital transformation for financial services along with defining Business and Operating Model digital banks within Retail, Corporate and Private.

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