Posted by NewAdmin on 2025-04-08 08:49:12 |
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Digital lending SaaS platform Biz2X, which currently
employs around 1,000 people, plans to hire over 200 professionals in the
upcoming financial year. These new hires will be across various roles,
including AI, data science, engineering, product management, and technology, in
India. Biz2X provides a comprehensive global SaaS platform that enables
financial institutions to deliver a customized online lending experience to
small and medium-sized businesses.
Rohit Arora, co-founder and CEO of Biz2Credit and Biz2X,
highlighted the significant shift in India’s digital lending landscape, with
artificial intelligence (AI) becoming central to the financial sector,
especially for risk assessment and credit decisioning. Arora outlined the
company’s ambitious AI-driven expansion plans, which include the creation of
real-time credit models and partnerships with financial institutions.
At the core of this transformation is Biz2X's AI-powered
lending stack, which integrates loan origination, management, collections, and
risk monitoring. Arora noted that traditional underwriting models are
struggling to keep up with the complexity of today’s borrowers. “AI allows us
to move beyond static financial data and develop a dynamic risk assessment
system that adapts to real-time business performance. This will be especially
beneficial for India’s MSMEs, which have long faced challenges in securing timely
credit,” Arora explained.
Looking ahead, Arora emphasized that the next phase of digital lending will see AI models offering dynamic loan pricing, where interest rates and pre-approved limits will adjust in real-time based on a business’s financial health. This shift is vital for a market where liquidity needs can fluctuate unexpectedly.
In addition to its expansion plans, Biz2X is working
closely with regulators to drive the adoption of standardized AI-based risk
assessment models. Arora stressed the importance of collaboration between
fintech companies and policymakers to ensure transparency in AI-driven lending
practices.