The Banking The Banking Executive Magazine - June 2024 Issue

Career Chronicle ISSUE 186 JUNE 2024 the BANKING EXECUTIVE 45 During the bank's digital money symposium on Thursday, CEO Jane Fraser outlined the banking giant's strategic priorities regarding AI adop- tion. Fraser emphasized that its cur- rent focal point is on transitioning AI technologies from the research and development phase to practical im- plementation across various opera- tional domains, stating, “Our focus now is to taking it from the lab to the factory floor.” She highlighted two key areas where Citi aims to leverage AI capabilities. The bank is exploring the potential of AI to provide personalized invest- ment recommendations tailored to the unique needs and preferences of its wealth management clients. Additionally, the CEO underscored Citi's commitment to bolstering its cybersecurity offerings through the integration of AI solutions. AI DISRUPTIONS Banks must proactively invest in AI adoption to adapt to the current tech- nological shift happening in the job market. Highly automatable positions within banking and finance include back- office functions, customer service, analysis, and reporting and relation- ship managers. On the other hand, jobs requiring complex problem- solving, creativity, emotional intelli- gence and human interaction, such as sales, marketing and leadership, have less potential for full automa- tion. AI AND REGULATORY COMPLIANCE AI adoption for compliance requires robust governance, including human oversight, ethical AI principles, data quality controls, model risk manage- ment and audit trails to ensure trans- parency and accountability in AI-driven decisions. AI systems can continuously monitor transactions, communications and trading activities to detect potential violations, fraud, money laundering or other compliance risks in real- time. This allows for proactive risk mitigation. Generative AI can rapidly analyze large volumes of data from multiple sources during client onboarding or periodic reviews to flag high-risk in- dividuals or entities and satisfy know-your-customer and anti-money laundering requirements more effi- ciently. Natural language processing can