The Agency for Regulation and Development of the Financial Market of the Republic of Kazakhstan published an update on a meeting between its chair, Madina Abylkassymova, and a delegation from the Central Bank of the Republic of Azerbaijan led by deputy chairman Togrul Najafali oglu Aliyev. The talks focused on improving risk based supervision, introducing analytical tools and digital solutions into supervisory work, assessing the resilience of financial institutions, and sharing experience on consumer lending regulation, including interest rate rules and the calculation of the debt burden ratio. During the visit, the Kazakh agency has planned a series of expert sessions for the Azerbaijani delegation on its supervisory approach. The sessions will cover the Supervisory Review and Evaluation Process, its integration with compliance supervision and anti money laundering and counter terrorist financing work, the assessment of banks' internal capital and liquidity adequacy, and the use of SupTech and artificial intelligence for model risk management. The two sides also indicated that they want to continue developing cooperation and exchanging experience on current issues in financial sector regulation and supervision.
Agency for Regulation and Development of the Financial Market of the Republic of Kazakhstan2026-06-09
Agency for Regulation and Development of the Financial Market of the Republic of Kazakhstan expands cooperation with the Central Bank of the Republic of Azerbaijan on risk based supervision and consumer lending
The Agency for Regulation and Development of the Financial Market of Kazakhstan reported meetings with the Central Bank of Azerbaijan on strengthening risk-based supervision, deploying analytical and digital tools, assessing financial institutions’ resilience, and sharing experience on consumer lending regulation. The Kazakh agency will hold expert sessions on its Supervisory Review and Evaluation Process, integration with compliance and AML/CFT supervision, internal capital and liquidity assessments, and the use of SupTech and AI for model risk management.