The asset management arm of a regional bank has ambitious growth goals and sought to increase AUM (assets under management) of funds that they manage,…
Risk
AI algorithms can analyse vast amounts of structured, unstructured, and cross-siloed data from the history of risk cases to gain a more complete view of individuals or organisations to identify the downside of issuing credit, early signs of potential malfeasance, or even systemic risks such as supply chain disruptions. Aicadium is helping customers efficiently identify and mitigate risk through fraud detection, credit risk scoring, and detection of other risk-generating occurrences.
Credit Risk Scoring
Combining data sets to develop a more holistic view of individuals or organisations enables real-time intelligent lending decisions such as data driven credit risk assessments to minimize downside risks of issuing loans. Cloud-first enterprises are also harnessing alternative data sets, such as telco data, in decision making for credit risk scoring and loan decisioning models. AI-driven credit risk scoring can help both bank and non-bank players utilise this alternative to assess the creditworthiness of individuals or entities.
Fraud Detection
Anti-fraud AI can predict which customers are most vulnerable to fraud and enable organisations to intervene in order to prevent fraudulent transactions being made. Anti-fraud models reduce losses for a bank’s customers, in turn improving customer confidence and satisfaction. It also reduces resource costs allocated to managing fraudulent cases and transactions.
Risk Assessment
AI provides the ability to evaluate both structured and unstructured data about risky behaviors or activities in an organisation’s operations. AI algorithms can identify patterns of behavior related to past incidents and transpose them as risk predictors.
Case Studies
Across Singapore, S$200M was lost to scammers in 2020. Our client bank’s customers were falling victim to such callers instructing them to wire out funds.…
In the Philippines, a large segment of the population is unbanked. A major telco launched a financial services subsidiary to address the market gap starting…
The subsidiary of a multinational banking and financial services organisation has a trade asset and origination platform that matches investors of different risk appetites with…