Key Players: Financial Institutions in Credit Reporting
Banking Companies: These are the big shots like the State Bank of India, your friendly neighbourhood banks, cooperative banks, and the nationalized ones. They’re the trusted pillars of financial stability.
Non-Banking Finance Companies (NBFCs): Picture them as the cousins of banks. They offer similar financial services but don’t have that official banking license. They’re like your go-to for financial help when you need it most.
Public Financial Institutions: Think of them as the referee in the financial game. They’re recognized and regulated by the Reserve Bank of India (RBI), ensuring fair play. Examples are IFCI, IIFCL, EXIM Bank, etc.
State Financial Corporations: These are like the local heroes. They’re established by the state under the State Financial Corporation Act, working to boost financial growth within their regions. Examples are APSFC (Andhra Pradesh State Financial Corporation), HPFC (Himachal Pradesh Financial Corporation), etc.
Housing Finance Companies: Imagine them as the architects of your dream home. They’re licensed by the National Housing Bank, making homeownership dreams come true.
Credit Card Companies: They’re the plastic wizards. Engaged in the credit card and similar card businesses, they’re the reason you can dine out or shop online with ease.
Micro-Finance Institutions: They act as financial lifelines, offering small loans to those excluded from traditional banking. What’s deemed “small” varies worldwide; in India, it’s anything under Rs. 1 lakh.
Data Submission Roles in a Financial Institution
Credit Department: These folks are like the guardians of financial health. They keep a close eye on borrowers, approve loans, and track repayments. When it’s data submission time, they’re the ones with the golden info.
IT and Data Management Teams: Think of them as the tech wizards. They ensure the data submission is as smooth as silk. They extract, format, and securely transmit the data, making sure it’s bureau-ready.
Compliance and Regulatory Teams: These are the rule enforcers. They make sure everything ticks the regulatory boxes set by the RBI. Data privacy and protection? They’ve got it covered.
Dedicated Liaison Officers: In the world of big players, these folks are the ambassadors. They’re on point for timely and spot-on data submission, connecting the institution and the credit bureau.
Operations Department: In smaller institutions, the operations team takes the reins. They’re the behind-the-scenes heroes, handling the nitty-gritty of data submission with finesse.
Frequency of Data Submission in Credit Reporting
Monthly Submission: Imagine lenders as diligent record-keepers. Every month, they gather and hand over a treasure trove of credit data to the credit information bureau. This data is a snapshot of borrowers’ financial lives – loans, payments, defaults, and all.
Submission Timeline: Picture this as a routine. Usually, two weeks after the month wraps up, the data gets submitted. However, there’s a speedster in the pack – TransUnion CIBIL is racing to get it done within a week, instead of the usual fortnight.
Regulatory Direction: Here’s where the Reserve Bank of India (RBI) steps in. It’s like the wise conductor of this orchestra. RBI says, “Hey, Banks and Non-Banking Financial Companies (NBFCs), become members of credit information companies and spill the credit data beans. Update it every month, or on even shorter intervals.”
Data Quality and Rejection: Sometimes, the data set gets a little wonky. A credit account might be left out, or some data might go “Oops!” and get rejected. But fear not, the banks tidy up the messy bits and resend them to the credit bureau.
Where Should The Credit Data Be Submitted?
Credit Information Companies (CICs): In India, there are a fantastic four of them, all licensed by the RBI – TransUnion CIBIL, Equifax, Experian, and CRIF High Mark. Financial institutions have a mandate to cosy up to each of these CICs and spill the credit data beans.
Submission Platform: Each CIC has its own secure, encrypted platform where financial institutions drop off the data. It’s like a high-security vault for your financial secrets.
Data Format: There’s a magic spell – the data format prescribed by the credit bureau. It’s the language everyone understands, ensuring that the data story is told consistently.
Data Verification: Once the data is in the bureau’s hands, they put on their detective hats. They check for accuracy and completeness. If something’s fishy or missing, they tap the financial institution’s shoulder for a chat.
Dispute Resolution: If you spot a glitch in your credit report, don your superhero cape and raise a dispute with the credit bureau. They’re your trusty sidekicks, liaising with the financial institution to sort things out. For example, Equifax even has a handy Dispute Resolution Form for these caped crusades.
Regulatory Oversight: The RBI stands guard over this data empire. They’re the referees, making sure the game is fair, accurate, and locked up tight.
How is Data Submission in Credit Reports Done?
Think of it as an automated workflow in digital lending software. The Loan Management System (LMS) takes centre stage, effortlessly processing, sorting, and polishing credit data, making sure it follows the RBI’s prescribed credit reporting format. Then, it submits this data to credit bureaus, maintaining accuracy and efficiency in credit reporting.
Here’s a generalized overview of how this process typically works:
Data Processing:
Credit Report Generation: Think of the LMS as a data magician. It collects information from different places, calculates metrics, and formats reports following RBI’s rules. Like magic, it conjures up credit reports from stored data.
Automated Workflows: Many LMSs have automated workflows that trigger credit report generation at specific intervals (e.g., monthly) or based on specific events (e.g., loan closure, default).
Data Formatting:
RBI’s Uniform Format: Think of the loan management system as a friendly translator. It has a built-in feature that takes the credit report data and moulds it into the shape the RBI prefers. This keeps everything uniform and makes sure the rules are followed.
Data Submission:
Integration with Credit Bureaus: Loan management systems are like tech connectors. They come with APIs (Application Programming Interfaces) or other integration methods that smoothly pass data to credit bureaus. It’s like a safe, fast highway for data, making sure everything reaches its destination securely and speedily.
Scheduled Submissions: The LMS can be programmed to automatically submit credit reports to bureaus at scheduled intervals, ensuring timely reporting.
We have come across the mentions of RBI’s credit data format many times. But, what’s exactly that? Have a look at the next chapter.
After smartphone penetration, people are not watching their SMS at all. They use SMS only for OTP related transactions. That’s it.
But What can a Lender see in your SMS after you consent to them?
Lender can see income, expenses, and any other Fixed Obligation like (EMIs/Credit Card).
1) Income – Parameters like Average Salary Credited, Stable Monthly inflows like Rent
3) Fixed Obligations – Loan payments have been made for the past few months, Credit card transactions.
It also tells the Lender the adverse incidents like
1) Missed Loan payments
2) Cheque bounces
3) Missed Bill Payments like EB, LPG gas bills.
4) POS transaction declines due to insufficient funds.
A massive chunk of data is available in our SMS (more than 700 data points), which helps Lender to make a credit decision.
An interesting insight on vehicle loans for lenders.
A trend we are seeing today – the first-hand vehicle ownership is decreasing with time. Why? People are upgrading their vehicles in every few years because of technological advances. And, this can be seen more with the millennial generation.
So, what should a lender do in terms of financing?
– Estimating the residual value of the vehicle at the start of the financing period.
– Charging a borrower only for the residual value (which is the difference between the value after a few years and the current value)
Example: A bike currently is INR 1 lakh. You want to buy the vehicle for 2 years. A lender will estimate the residual value of that bike today and what it would be after 2 years. If the estimated residual value = INR 45,000, the lender will charge you only that (say, INR 55,000 with interest for this instance) during your tenure.
At the end of 2-year period, you have 3 choices:
1. Return the bike and upgrade to a new one without going through the struggle of selling it.
2. Pay the lump sum remaining amount to own the vehicle outright.
3. Extend the financing and own it by keep paying the EMIs for the remaining amount of the vehicle for the next 12 or 18 months.
Benefits for the borrowers?
– Flexibility to use a vehicle and upgrade to a new one.
– Affordability to not pay for the complete value of the vehicle with the intention to use for a lesser amount of time.
– Convenience in owning the vehicle.
Say goodbye to the old lending option and embrace the new way of financing for vehicle by lenders!
1) Tiktok does Lending ( is it an entertainment company or social media company or a fintech company?
2) Youtube China does Lending
3) Top 100 internet companies in China(no matter what business they are in) do Lending
The team which was heading Lending in Tiktok was the Advertisement team. If we do Ads, we do X no of revenue. But if we do lending, we’ll get X+30% more revenue. This is on the same Ad spot.
Ad team has transformed into a lending team, and in today’s world, it’s possible because the subject matter expertise can be put in as an API and given to you.
Embedded Lending as a service is becoming popular in India too, and I am happy to be part of this ecosystem.
The answer is No. Only the top 10 crore people have access to many credit products in India. Almost all Banks focus on this market.
Once you go beyond that, the credit access rate has dropped significantly due to multiple factors.
1) Customers who are having low income(30-40K per month)
2) Not earning from an employer who belongs to Category A or B
3) Not from Tier 1 or 2 cities
NBFCs and Fintechs focus on the above segment, pushing another 10 crores of people.
But in India, 70 crores more people are formally or informally employed, which still needs to be tapped.