Starting April 1, Russian financial institutions must overhaul how they assess borrower risk. According to Kaplan Panesh, Deputy Chairman of the State Duma Committee on Budget and Taxes, banks can no longer factor unofficial income into debt burden ratios. This marks a significant shift from relying on self-reported forms to mandating verified data streams.

The new protocol requires lenders to pull income data exclusively through the "Digital Profile" system. Since March 1, 2026, banks have integrated directly with the Federal Tax Service and Social Fund APIs. This ensures credit decisions rely on immutable records of salaries and taxable benefits rather than potentially inflated client declarations. It effectively standardizes the input features used for risk modeling across the industry.

For data professionals, this represents a move toward higher veracity in financial modeling. Borrowers with fully documented earnings should see consistent treatment. However, individuals receiving cash payments or off-book compensation will face stricter limits. If official tax records show low income, loan approvals will drop or vanish entirely.

The rule extends beyond new mortgages to include refinancing and credit limit adjustments. Panesh advises citizens to audit their own data quality via the "Gosuslugi" portal before applying. If employers aren't remitting taxes on full wages, that gap now directly impacts borrowing power. This centralization reduces fraud risk but tightens liquidity for the informal economy, forcing a reliance on clean, government-validated datasets for all major credit decisions. The era of heuristic income estimation is officially over. For engineering teams maintaining credit scoring pipelines, this mandates a hard dependency on external government endpoints. Data freshness and API availability become single points of failure that were previously manageable through alternative documentation.

Source: RIA Novosti