Personal loan assessment
See the borrower’s full financial picture, not just a credit report
Income, affordability, credibility and spending behaviour from bank statements, payslips and EPF statements, with bank statements and EPF statements checked for tampering.
Money in from companies
Income detected from statements, payslips and EPF
ABC Tech Sdn Bhd
Salary · 3 transactions
RM 6,420.00
100.0
Frequency · Strong
100.0
Consistency · Strong
100.0
Stability · Strong
ABC Tech Sdn Bhd
Other · 3 transactions
RM 1,250.00
100.0
Frequency · Strong
40.0
Consistency · Poor
60.0
Stability · Standard
Unit trust fund
Investment · 1 transaction
RM 2,800.00
33.3
Frequency · Poor
100.0
Consistency · Strong
60.0
Stability · Standard
Risk signals
Transactions that may indicate risk
Gambling habit
Not detectedRecent loan disbursement
Not detectedBNPL use
Detected · 2 transactionsSample data for illustration
Income verification
Verify income from every source
We detect income from bank statements, payslips and EPF, and score each source so you know how reliable it is.
Money in from companies
Income detected from statements, payslips and EPF
ABC Tech Sdn Bhd
Salary · 3 transactions
RM 6,420.00
100.0
Frequency · Strong
100.0
Consistency · Strong
100.0
Stability · Strong
ABC Tech Sdn Bhd
Other · 3 transactions
RM 1,250.00
100.0
Frequency · Strong
40.0
Consistency · Poor
60.0
Stability · Standard
Unit trust fund
Investment · 1 transaction
RM 2,800.00
33.3
Frequency · Poor
100.0
Consistency · Strong
60.0
Stability · Standard
Sample data for illustration
Affordability
Monthly surplus, estimated three ways
Balance analysis
RM 2,150
Simple
RM 1,980
Custom
RM 1,640
Sample data for illustration
Affordability assessment
Know what the borrower can really afford
From net income, loan repayments and monthly living costs, we estimate affordability three ways, so your credit team can choose the method that fits its policy.
Credibility assessment
Reward good behaviour, flag the risky kind
We look for transactions that show financial responsibility, and for patterns that signal risk.
Financial credibility
Positive behaviour and risk patterns
Positive
Risk
Sample data for illustration
Spending behaviour
Monthly average across the statement period
Needs
46%
RM 2,140
Wants
24%
RM 1,120
Debt repayment
18%
RM 840
Savings
12%
RM 560
Recurring expenses
Sample data for illustration
Financial behaviour
Understand how the borrower spends
A clear view of monthly spending, recurring commitments and balances.
Built-in fraud check
Assess only documents you can trust
Every bank statement and EPF statement goes through our multi-layer fraud check before income is assessed, so edited amounts and fake statements never reach your credit decision.
Integration
Start in the way that suits your team
Begin with the dashboard on day one, then move to a full integration when you’re ready.
No integration
Dashboard
Your team uploads documents and reviews results in our dashboard.
Light integration
Embeddable web component
Send documents via API and show our visual results inside your own system.
Full integration
API
Structured data straight into your loan origination system or credit decision engine.
Personal loan assessment: frequently asked questions
How can Malaysian lenders verify a borrower’s income from bank statements?
Finory detects every income source in a borrower’s bank statements, payslips and EPF statements, then scores each one for frequency, amount consistency and stability. It also extracts the employer’s name automatically, so credit teams can verify salaried and commission-based income without reading statements line by line.
How does Finory assess personal loan affordability?
Finory calculates affordability three ways: balance analysis based on monthly closing balances, payslip income against average monthly spending, and a custom method that subtracts predicted debt repayments and living costs from income. Lenders can use the method that fits their credit policy.
Can Finory detect fake or edited bank statements in a loan application?
Yes. Finory checks bank statements and EPF statements for tampering with multi-layer document fraud detection, including proprietary DNA-level integrity checks that catch edits even when a statement looks genuine.
What risk signals does Finory find in a borrower’s bank statement?
Finory flags risk signals such as gambling transactions, recent loan disbursements and buy now, pay later (BNPL) use. It also detects positive behaviour, including rental payments, utilities, loan repayments, savings, investments and insurance.
Which documents does Finory need for a personal loan assessment?
Finory works with bank statements from all Malaysian banks, payslips and EPF statements, and also supports credit card and eWallet statements. Original e-statements give the strongest result, because every document fraud check can run on them.
How long does a Finory personal loan assessment take?
A typical personal loan application, with 3 months of bank statements, 2 years of EPF statements and 3 months of payslips, takes 1 to 5 minutes on average. Processing time depends on the number of pages, so larger documents such as business bank statements take longer.
How do lenders integrate Finory into their loan process?
Finory is available through an API that sends structured results into a lender’s loan origination system or credit decision engine. Teams can also start with the Finory dashboard, or embed results in their own system with a web component.
Test Finory on your own applications
Share a few sample applications, and we’ll show you the full assessment report.
Book a demo