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In this engaging episode of "In Good Company," Norwegian sovereign wealth fund CEO Nicolai Tangen sits down with Tan Su Shan, CEO of DBS Bank—Southeast Asia's largest financial institution—for an insightful conversation about leadership, innovation, and navigating global disruption. (00:40) Su Shan shares how DBS has evolved from Singapore's development bank in the 1960s to a cutting-edge digital banking powerhouse, saving $750 million through AI implementation last year. (28:16) The discussion covers Singapore's success story as a stable financial hub, DBS's customer-obsessed culture transformation, and Su Shan's unconventional leadership journey—including her strategic decision to demote herself early in her career. (10:41) The conversation concludes with Su Shan turning the tables to interview Tangen about managing the world's largest sovereign wealth fund, creating a unique reverse mentoring moment.
CEO of DBS Bank, Southeast Asia's largest bank, with 15 years at the institution and 6 months in the top role. Su Shan is recognized as one of the most powerful women in global finance, having built DBS's wealth management business and spearheaded the bank's digital transformation that saved $750 million through AI implementation.
CEO of Norges Bank Investment Management (Norwegian sovereign wealth fund), managing the world's largest sovereign wealth fund. Tangen hosts the "In Good Company" podcast and is known for his transparent leadership approach and focus on long-term investing spanning 50-100 years.
Su Shan made the unconventional decision to demote herself when joining DBS, choosing to report to the consumer banking head rather than the CEO to build the private bank more effectively. (10:41) This counterintuitive move demonstrates that sometimes taking a step back creates exponentially greater opportunities for impact. Rather than being ego-driven about titles, Su Shan focused on creating a "wealth continuum" that could generate massive scale. This approach challenges traditional career advancement thinking and shows that impact-driven professionals should prioritize long-term strategic positioning over immediate status recognition.
DBS transformed its operations by organizing around customer journeys rather than vertical product lines, supported by real-time data dashboards since 2016. (22:46) This fundamental shift means viewing every interaction—from account opening to loan applications—as interconnected experiences rather than isolated transactions. The approach includes continuous A/B testing with instant feedback loops displayed on screens throughout meeting rooms, enabling data-informed decision making. This methodology has been crucial to their AI success, generating $750 million in incremental revenue through machine learning optimization of customer interactions.
DBS institutionalized the concept of "WRECKOON"—empowering any employee, regardless of seniority, to challenge ideas in meetings by saying they want to "wreckoon" a proposal. (21:06) Combined with "MOJO" roles (Meeting Owner and Joyful Observer), this creates systematic psychological safety where junior staff can tear down senior executives' ideas without fear of retribution. This cultural mechanism prevents groupthink and ensures diverse perspectives are heard, particularly crucial in hierarchical Asian business cultures where challenging authority traditionally carries significant risk.
In an increasingly fragmented global order, Su Shan advocates for comprehensive diversification across markets, supply chains, banking relationships, and currencies. (05:40) She introduces the concept of "TOTUS" (Trade Outside The US), noting that 89% of global trade occurs outside the US, presenting significant growth opportunities. (07:03) This strategy extends beyond business to wealthy Asian clients who now diversify their banking across Western, US, and Asian institutions while also holding multiple currencies and asset classes including gold. The approach transforms geopolitical challenges into opportunities through strategic positioning.
DBS's successful AI deployment comes from integrating artificial intelligence directly into existing customer journey frameworks rather than treating it as a separate technology overlay. (30:14) The bank uses voice-to-text conversion of customer service calls, applies AI analysis to identify wealth management opportunities, and generates propensity scores for targeted outreach. This systematic approach means every AI application is measured against real customer journey metrics with immediate feedback loops, ensuring practical value creation rather than technology for technology's sake.