Jakarta, 5 March 2025 – ElysianNxt, a leading provider of next-generation risk management solutions, has been selected by Superbank, a digital-focused bank in Indonesia backed by Grab, Emtek, Singtel and KakaoBank, to enhance its Asset and Liability Management (ALM), particularly its Interest Rate Risk in the Banking Book (IRRBB) and daily liquidity risk management. With the adoption of ElysianNxt’s ALM.NXT, Superbank strengthens its ability to monitor and manage liquidity positions in real time, ensuring agility and resilience in today’s rapidly evolving financial landscape.
ElysianNxt’s ALM.NXT solution is built on a modern microservices architecture, delivering real-time analytics through an ISO 27001-certified SaaS platform. Superbank’s decision to implement ALM.NXT was driven by its advanced automation, user-friendly dashboards, and ability to perform real-time risk calculations, enabling instant liquidity assessments for informed ALM related decision-making. The platform is also designed for scalability, handling large volumes of data with speed and efficiency.
“We are excited to partner with Superbank in their mission to enhance IRRBB and liquidity risk management,” said Chris Puype, CEO and Co-Founder at ElysianNxt. “Our platform empowers banks to transition from traditional static reporting to real-time, automated risk analysis, equipping them with the agility to respond swiftly to market fluctuations and regulatory changes.”
“At Superbank, we continuously seek cutting-edge solutions to strengthen our risk management framework,” said Bhavana Vatvani, Director of Operation Superbank. “ElysianNxt’s technology equips us with real-time insights and enhanced processing power, allowing us to optimize liquidity management with confidence and efficiency.”
With ALM.NXT, Superbank gains access to high-performance liquidity risk assessments, including the ability to process daily liquidity calculations for 3 million contracts in just 12 minutes (see how ALM.NXT does it → Request a demo). This marks a significant step in strengthening risk management frameworks and optimizing asset and liability management decisions.
By integrating ElysianNxt’s technology, Superbank underscores its commitment to adopting best-in-class risk management solutions that enhance financial stability, operational efficiency, and innovation in the banking sector.
About ElysianNxt
ElysianNxt's Basel and IFRS9 solutions are part of a pioneering, end-to-end Financial Risk platform that was built using the latest streaming technologies. By using a distributed microservices architecture compared to a traditional central-database design, the solution can process large quantities of information in real-time. Users can react quickly to changes by performing real-time stress testing and running multiple simulations on the fly to see the immediate impact in minutes. The user-friendly system interface design provides useful information from the portfolio level, which can be drilled down to the contract level and exported in various formats.
About Superbank
Superbank, formerly known as PT Bank Fama International, is a bank with digital services in Indonesia with over 2 million customers as of October 2024. Founded in Bandung in 1993, Superbank entered a new era of growth joining the Emtek Group in 2021, followed by Grab and Singtel in early 2022, and KakaoBank in 2023 as part of the consortium. With a mission to expand credit access for retail customers and MSMEs, Superbank empowers its users through innovative solutions and strong collaborations within one of the largest ecosystems in the industry. Superbank's commitment to security is evidenced by its ISO 27001 certification, ensuring international standards in information security.
Download the Superbank app on Google Play Store and Apple App Store. For more information, visit http://www.superbank.id.
Key considerations for risk and treasury leaders
How does liquidity risk management differ for digital banks in Indonesia and Southeast Asia compared to traditional regional banks?
Liquidity risk for digital banks in Indonesia and Southeast Asia operates on a different rhythm than traditional regional banks. Customer onboarding, deposit movement and lending decisions happen continuously across millions of low-balance, high-frequency contracts – often serving previously underbanked retail and MSME segments. Funding sources skew toward retail digital deposits rather than wholesale or interbank, which sharpens the sensitivity to behavioural assumptions on non-maturing deposits. The practical implication: end-of-day batch ALM systems built for traditional balance sheets struggle to keep pace, and treasury teams need contract-level visibility within the same business day.
How long should daily liquidity risk calculations take, and what does throughput speed mean for ALCO and treasury decisions?
For a bank running a digital operating model, daily liquidity risk calculations should complete in minutes, not hours. Speed determines whether ALCO and treasury can review a complete liquidity picture and act on funding gaps before market windows close.
With the .NXT Platform, Superbank processes daily liquidity calculations on 3 million contracts in 12 minutes, which means the same risk window can absorb multiple stress scenarios and what-if simulations rather than producing a single end-of-day snapshot.
What capabilities should we look for in ALM software designed for a digital bank operating model?
A microservices architecture matters because it scales horizontally as the contract base grows. Look for native support for IRRBB (EVE, NII), Basel III and Basel IV liquidity ratios (LCR, NSFR), and SaaS delivery so the risk team focuses on decisions rather than infrastructure.
What should a risk team evaluate when selecting an IRRBB solution for a fast-growing or digital-first bank?
A fit-for-purpose IRRBB solution should support both regulatory perspectives — Economic Value of Equity (EVE) for long-term capital sensitivity and Net Interest Income (NII) for short-term earnings risk — with configurable shock scenarios under the Basel framework. Beyond the headline metrics, evaluate behavioural modelling for non-maturing deposits (essential for digital deposit books), architectural scalability as the contract base grows, time-to-implementation, and whether the platform produces both internal management views and supervisory-grade reporting from a single calculation. SaaS delivery and security certifications such as ISO 27001 should be table stakes.
