Conference Presentation, Panel
Reimagining Financial Services
Milken InstituteAlison Tudor-Ackroyd, Abdulla Almoayed, Michael DeAddio, Brady Dougan, Akber Jaffer, Kenny Lam
- Global data availability is expanding exponentially, creating a competitive landscape in Asia where differentiation relies on the speed of interpretation, featurizing raw ecosystem data, and processing power rather than mere data access.
- Investment firms are expected to transition from building internal hardware to acquiring global software tools like TensorFlow, with fundamental managers increasingly integrating data science teams to interpret data using historical experience rather than just volume.
- Technology platforms such as Fusion Fabric will facilitate the creation of shared data pools, while digitalization efforts will convert legal documents into machine-readable datasets to unlock previously inaccessible information.
- Open banking and direct API integrations are projected to supplant screen scraping in the Gulf region and replicate the UK's early success in Asian markets like Hong Kong and Singapore through virtual licensing, driving a shift from legacy banking to dynamic environments.
- The wholesale financial sector, currently slower to adopt technology, is anticipated to undergo the most significant transformation via Amazon-like platform capabilities, digitalization of trade finance, and syndicated loans due to existing inefficiencies.
- Market structures in capital distributions are expected to evolve toward greater efficiency through Dutch auctions and issuer bypasses, potentially reducing traditional investment banking fees.
- Insurance in Asia presents a high-disruption opportunity over the next five years driven by low penetration, behavioral shifts, and available risk assessment data, while phone data offers a unique capture point in regions with high mobile but low credit card usage.
- Fintech entities are forecasted to layer onto commoditized banking utilities, leading to increased partnerships and acquisitions as incumbents seek solutions, with banks eventually adopting open APIs to sell bundled product suites.
- Future investing in China will require firms to ring-fence intellectual property risks and leverage closed-system lessons from firms like Alibaba, while maintaining a long-term 10 to 20-year engagement strategy.
- Talent acquisition strategies will pivot toward partnerships with local universities and firms to train mathematically and subject-matter expert data scientists, bypassing Western immigration hurdles by establishing offices in locations like Estonia.
- Cultural factors, including socialization and purpose-driven activities, are identified as critical for retaining top technology talent migrating from major tech firms to the financial sector.
- Legacy technology infrastructure in U.S. firms is expected to face regulatory pressure regarding transparency, driving a shift toward real-time data capabilities, while UK incumbent banks may face enforcement measures like OBIE to overcome resistance to API sharing.
- Deep learning and AI tools are projected to become accessible to a broader practitioner base, enabling more individuals to produce innovative results and accelerating the conversion of banks into utilities in jurisdictions with clear digital strategies.
- WorldQuant expects its China office to remain a primary quantitative output hub globally, while other firms are expected to continue diversifying research centers to access emerging talent pools.