Deep Dive: How Anuj Kacker Of MoneyTap Uses AI/ML For Financial Inclusion


Lending by Fintech, startups have added new dimensions to the financial intermediation process and has boosted financial inclusion, especially by helping borrowers. The Fintech lending industry is constantly innovating and is set to grow to $100 billion by 2023. Also, a growing number of non-financial startups such as Ola and Mi are trying to become lending players as well. 

To know more about this industry and for this week’s Deep Dive, Analytics India Magazine got in touch with Anuj Kacker, COO and Co-Founder of MoneyTap. Bangalore-based MoneyTap was launched in 2015 and is currently available in 44 cities in India. 


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Founded by Anuj Kacker and Bala Parthasarathy, MoneyTap caters to the credit needs of middle-class India by providing quick, flexible and hassle-free credit on mobile at affordable interest rates. Also, currently, the company is working on streamlining processes, training, and operations to continue providing the best combination of quick credit and smooth process to the respective customers. 

Use of AI/ML

The credit line product of MoneyTap uses AI and ML to integrate various functionalities such as customer targeting, onboarding document verification, analysing risk and repayment behaviour patterns as well as collections. The AI and ML algorithms are used to generate alternate data scorecards, which mainly form the basis for lending in addition to CIBIL scores. 

Customers download the MoneyTap app for free, and then a patent-pending propriety ChatBot takes the customer through the application process for the credit line. The smart AI and ML algorithms help them get an instant credit decision within minutes. 

Core Tech Stack

At the core, the tech stack of the company includes databases such as Postgres and Redis, server stacks such as Java, Python and Vue.js and frontend clients like Android, iOS, among others. 

Size of Engineering Team

Currently, the company has an engineering team of 35+ employees which includes both data scientists and developers. And further, they are looking to increase the engineering team size to about 100 by next year. 

Tackling Hiring Phase

To be the right candidate, the company expects the candidate to not only have the required expertise in the field but also to be a great culture fit. The hiring process involves campus hiring, and hackathons, as well as by employee recommendations. While hiring a data scientist, the company looks for qualities like curiosity for data and an ability to build strong hypotheses with sustainable proof.

Achieving Customer’s Trust

As a customer’s trust and satisfaction are something tough to achieve, the customer success team at the company provides a smooth lending experience to the customers. The customers are usually kept in touch through various sources like email, social media, SMS, push notifications and in-app communication. 


MoneyTap is a full-stack consumer lending company which is continuously striving to bring the most seamless and hassle-free credit experience to the consumers. The company has created a total loan book of ₹1,000 crores and has achieved a disbursal run rate of ₹2,500 crores a year. 

Kacker added, “We plan to expand the role of our tech and data teams to combine UI & AI – this will lead to customised credit solutions for diverse customer demographics. Our vision is the financial inclusion of underserved segments in India.”

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Ambika Choudhury
A Technical Journalist who loves writing about Machine Learning and Artificial Intelligence. A lover of music, writing and learning something out of the box.

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