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.

Book a demo

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 detected

Recent loan disbursement

Not detected

BNPL use

Detected · 2 transactions

Sample 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.

Income frequency: how regularly money arrives
Amount consistency: whether the amount stays the same
Income stability: an overall score for each source
Employer name extracted automatically

More on income verification →

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

Net incomeRM 6,420
Loan repayments 22%Living costs 46%Surplus 32%

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.

Balance analysis based on monthly closing balances
Simple: payslip income against average money out
Custom: income minus predicted debt and living costs

Credibility assessment

Reward good behaviour, flag the risky kind

We look for transactions that show financial responsibility, and for patterns that signal risk.

Positive: rental, utilities, loan repayment, savings, investments and insurance
Risk: gambling habit, recent loan disbursements and BNPL use

Financial credibility

Positive behaviour and risk patterns

Positive

Rental3 of 3 months
Utilities3 of 3 months
Loan repayment3 of 3 months
Insurance2 of 3 months

Risk

GamblingNot detected
Loan disbursementNot detected
BNPL2 transactions

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

RentRM 1,200 · Monthly
Car loanRM 640 · Monthly
Mobile planRM 98 · Monthly

Sample data for illustration

Financial behaviour

Understand how the borrower spends

A clear view of monthly spending, recurring commitments and balances.

Spending split into needs, wants and debt repayment
Recurring expenses with amounts and frequency
Balance analysis across the statement period

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.

How document fraud detection works

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