The banking and financial services industry has come under intense regulatory scrutiny following high profile financial crimes relating to money laundering, terrorist financing, tax evasion, etc. Record fines, erosion to reputation and trust are prompting management to search for more effective measures to manage operational risks.Emerging issues such as expansion to frontier markets and cyber risk also pose new challenges in managing operational risk. More so, when there are significant information gaps and/or inappropriate selection of analytics methodologies and tools.
This workshop seeks to provide a practical framework to define data analytics infrastructure – people, process, systems, tools, data and culture. Case studies are used to illustrate how alternative data and information can be combined to effectively manage and alleviate operational risks.