The loan underwriting process: 4 ways fintech improves it

Underwriting is a critical part of the loan process. For many lenders, it’s also a frustratingly long process requiring hours of research and back-and-forth communication with borrowers to verify financial data.

The lengthy underwriting process used to be necessary. The only way to ensure borrowers could repay a loan was by requesting physical documents, pulling credit scores, and verifying paycheck stubs manually. 

Today, the underwriting process is changing thanks to the rise of fintech solutions that reduce manual tasks and expand data for underwriting algorithms, resulting in increased access to personal loans, credit cards, and mortgages.

Key Takeaways:

• Fintech streamlines underwriting by automating manual document verification and data collection.

• Real-time cash-flow insights help lenders make faster, more accurate credit decisions.

• Alternative data sources expand access to credit for borrowers with thin or no credit history.

• Automated underwriting reduces risk by detecting anomalies and verifying identity in real time.

• Fintech-enabled onboarding boosts borrower conversion and accelerates loan funding.

What is the loan underwriting process?

The loan underwriting process refers to the steps a lender takes to determine if the risk of offering a loan to a borrower is worthwhile. During this process, the lender looks at bank statements, paycheck stubs, and other financial data to ensure the borrower can repay a loan.

After collecting this data, lenders incorporate it into their unique underwriting algorithms to determine the consumer’s creditworthiness, including the available loan size and interest rate.

Unlike the pre-approval process, which can be completed quickly, the underwriting process may take several days or even weeks, especially if the lender uses a manual process to verify income and assets.

If the lender is satisfied with the results of the underwriting process, the loan is offered.

What assets are considered in the underwriting process?

Assets, which include any items of value that can be used against the loan, are an important part of underwriting. Lenders look at nearly all types of assets, including cash, income, and physical assets such as a home or commercial properties.

Other factors considered include the borrower’s credit score, employment record, and, in the case of a secured loan, the appraised value of the secured item (such as a car or home) the borrower wants to purchase.

Some lenders, particularly fintech lenders, look at alternative data to determine creditworthiness, including cash flow data like payments to utility companies, on-time rent payments, and counts of insufficient funds.

How is cash flow data used in underwriting?

Cash flow data refers to detailed financial data about inflows to and outflows from an account, such as loan payments or alternative sources of income. It is an exciting addition to the underwriting process for several reasons.

In the past, many lenders looked at a very narrow slice of financial data, such as credit score and debt-to-income ratio. As a result, many borrowers could not obtain loans, including the self-employed or those with thin credit files, such as young borrowers or recent immigrants.

Cash flow data from personal bank accounts, payroll accounts, or small-business software provides lenders with a more holistic view of a borrower’s finances. It also creates an opportunity to evaluate borrowers who haven’t yet built up their credit scores, giving lenders a broader pool of customers.

How long does the loan underwriting process take?

Underwriting timelines vary by loan type, typically ranging from a few days to several weeks. 

For example, secured loans like mortgages often take 30 to 45 days to move from underwriting to funding. Unsecured loans like personal loans have a much shorter timeline. Most borrowers receive a final decision within a few days to one week, with online and fintech lenders often delivering decisions in 24 hours or less.

Keep in mind: underwriting refers specifically to the risk assessment used to reach a credit decision, not the initial verification of borrower data or the final disbursement of the loan (which can take anywhere from a day to a week or more).

Underwriting may take longer if the lender requests individual PDFs of documents and bank statements, due to the time required to gather and sort documents by both lender and borrower. However, lenders using digital asset verification can process loans in as little as one day. Using Plaid, lenders like SoFi and Betterment can instantly connect to a borrower’s bank account and access the data needed to make an informed lending decision.

What does a typical loan underwriting process look like?

While timelines vary by loan type, the typical underwriting process includes 4 steps: pre-approval and application, collateral valuation, income and asset verification, and finally, underwriting decision and funding.

Step 1: Pre-Approval + Application → One day to one week

Borrower applies for a loan, provides some basic financial information, and receives a pre-approval (if eligible). 

Step 2: Collateral Valuation → Around one week (secured loans only)

When the borrower finds an asset to buy, such as a car or property, the lender checks its value to ensure it matches the purchase price. Digital solutions can connect directly to bank and payroll accounts to retrieve verified data instantly.

Step 3: Income and Asset Verification → 1–2 days (digital) or one week or more (manual)

The lender requests financial documents from the borrower to confirm that they can afford repayment.

Step 4: Underwriting Decision + Funding → Around 3 days

Once the lender decides the loan is ready for approval, final contracts are created detailing the interest rate, the monthly payment, and any fees.

The timeline can be affected by loan type, the complexity of financial data, and the lender’s overall processing volume.

How is fintech improving the loan underwriting process?

Fintech replaces slow, document-heavy manual steps with instant data connectivity, automated analysis, and real-time fraud detection, making underwriting faster, safer, and more inclusive. 

Speeds up and improves the income and underwriting process

Plaid Income and Underwriting connects directly to a borrower's bank accounts to retrieve up-to-date balances and transaction history in real time. This eliminates the need for borrowers to manually gather and submit PDF statements, reducing verification from days to minutes while improving data accuracy. 

Broadens credit access with network insights, income analytics, and cash flow data

Roughly 26 million Americans have no credit score, and 19 million more have records too thin to score. Plaid's LendScore analyzes cash-flow behavior, income consistency, and payment patterns to generate a creditworthiness signal beyond traditional scoring. This expands the pool of qualified borrowers and enables responsible lending for self-employed individuals, recent immigrants, and young borrowers.

Mitigates risk with insights into cash flow and income patterns

Fintech underwriting platforms, including Plaid's consumer lending solutions, integrate automated income and identity checks that compare borrower claims against verified financial behavior in real time. Anomalies such as mismatched account ownership, suspicious deposits, or inconsistent income patterns are flagged instantly rather than discovered weeks later in a manual audit.

Boosts borrower conversions from day one

A friction-heavy underwriting process loses applicants. Fintech-enabled onboarding, where borrowers connect their accounts in one step rather than uploading dozens of documents, dramatically improves completion rates. Plaid’s LendScore solution helps lenders identify high-intent, creditworthy borrowers early, reducing abandonment and boosting funded loan volume from the first touchpoint.

Take advantage of fintech solutions for faster underwriting

Plaid offers a comprehensive underwriting data infrastructure, from income and asset verification to alternative credit signals, that lenders can deploy without building proprietary data pipelines.

At the center is Plaid Check: Income and Underwriting, a consumer reporting agency (CRA) that delivers verified income, employment, and cash flow data directly into underwriting workflows. Because Plaid operates as a CRA, the reports carry the regulatory weight needed for compliant credit decisioning under FCRA.

Complementing this is Plaid LendScore, an alternative credit signal derived from cash-flow and account-behavior data. LendScore helps lenders extend responsible credit to borrowers who would otherwise fall through the cracks of traditional scoring.

Frequently asked questions

What documents are needed for underwriting?

Lenders typically review bank statements, paycheck stubs, tax returns, and other asset or income documents. For secured loans, a collateral valuation may also be required. Many lenders now use digital verification to access this information directly.

How does cash-flow data improve underwriting?

Cash-flow data shows inflows and outflows (like rent and utility payments, balances, and gig income). It gives lenders a more complete picture of a borrower’s finances and helps evaluate applicants with thin credit files.

How does fintech speed up underwriting?

Fintech connects directly to verified data sources, enabling instant asset, income, and identity verification. Tools like Plaid Check, Plaid’s underwriting solution, reduce manual work and errors for faster decisions.

What is the difference between manual and automated underwriting?

Manual underwriting relies on a human underwriter to review physical documents and make judgment calls, a process that can take weeks. Automated underwriting uses algorithms and verified digital data to assess borrower risk in minutes, with human review reserved for complex or flagged cases.