A survey of banking leaders by BioCatch reveals that managing high alert volumes is the most common day-to-day operational hurdle for fraud teams in Singapore, with half of the respondents ranking it among their top three challenges. However, only 12% of bankers identified it as their single greatest issue.
Manual tasks emerged as the second most frequent bottleneck, with 47% of respondents placing it in their top three concerns and 15% labeling it as their primary challenge. This highlights ongoing difficulties within financial institutions to automate key fraud prevention and financial crime processes. Following closely, identifying legitimate users and detecting mule accounts were each cited by 42% of participants as top-three issues. Specifically, 15% viewed mule account detection as their biggest challenge—reflecting the critical role these accounts play in enabling scams, fraud, and money laundering—while 13% said the same for verifying genuine users.
System integration also proved to be a major pain point, with 41% of respondents including it in their top three challenges and 16% identifying it as their most significant problem. Low-quality data and staffing or resource constraints were both highlighted as top-three challenges by 38% of those surveyed. However, only 7% flagged poor data quality as their main issue, compared to 15% who felt that way about staff shortages and skill gaps.
The report observed that larger fraud and anti-money laundering (AML) teams face the heaviest pressure from alert volumes due to intensive transaction monitoring, noting that simply hiring more staff is no longer enough to counter the rising scale and complexity of modern financial crime. Among C-suite executives, high alert volumes and mule account detection were singled out as the two most pressing operational concerns.
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