In this episode, we explore the world of FinTech, credit risk modeling, and data analytics with our guest, Mr. Suyash Soni, a seasoned data professional with over a decade of experience. Our guest shares his journey from starting at Mu Sigma, a leader in decision science, to playing pivotal roles in Indian FinTech startups like CreditVidya, ZestMoney, Sezzle, and Simpl. Discover how he built data pipelines, handled credit risk management, and solved complex data challenges in the buy-now-pay-later (BNPL) sector. We also discuss the untapped potential of India's underserved economy, building zero-to-one data teams, and the unconventional approaches to driving business outcomes in FinTech. Join us for valuable insights into the evolution of FinTech in India, from managing fraud risks to deploying machine learning models in production.
🔑 Key topics:
1. Mu Sigma and foundations in data analytics
2. Building FinTech data pipelines
3. Credit risk modeling and fraud management
4. Challenges in the buy-now-pay-later segment
5. India’s underserved economy and FinTech solutions
6. The growth of data science in FinTech
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Негізгі бет Analytics Career Path | Fintech Analytics | Risk Modelling | Building Data Analytics Team
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