Chief Data Officer and Head of Data Management, Analytics & AI, EFG Bank
Dr Sigrid Rouam is the Chief Data Officer and Head of Data Management, Data Analytics and Gen AI at EFG Bank. She is responsible for developing and driving the data transformation journey globally. This includes managing the bank’s data, enhancing data flows, building & maintaining a cloud infrastructure to support the data journey and, ultimately, creating business impact through advanced analytics and data science.
Prior to EFG, Sigrid worked in various industries including Genomics Research, FMCG and Telco. She set up the data science teams at Singapore Exchange, Standard Chartered and Credit Suisse APAC and led the development of the data science capabilities for the three institutions. She is also deeply interested in innovation and continuously brings new methodologies to solve business use cases.
Sigrid is regularly invited to speak at conferences in Singapore and overseas. She is active in the start-up community as an advisor and mentor and was part of the 2020 Singapore Fintech Festival mentoring program. She has coached, trained and guided many young aspiring data scientists at different stages of their careers, both in Singapore and overseas.
Sigrid holds an engineering degree (Hons) in Agronomy, Bio-engineering and Statistics from AgroParisTech, INA P-G, Paris, France (top institute of higher education in life sciences in France), a Masters degree (Hons) in Probability and Statistics from AgroParisTech/ Universite Paris-Sud/Ecole Normale Superieure, Paris, France and a PhD in Biostatistics (Hons) from University Paris-Sud, Paris, France.
Dr Sigrid has won several awards in Technology and Data, such as 100 Women in Tech in 2021, World’s Leading Entreprise Data Leaders in 2022, SPARK Asia 200 Digital Leaders Award in 2023, Winner of Women in AI Finance in 2024, Corinium's Global Top 100 Innovators in Data & Analytics 2024.
Workshop Room 1, Sands Expo & Convention Centre, Level 4
Invite-Only
This interactive session by Zühlke and AWS will delve into the evolving landscape of Generative AI (GenAI) in financial services, where the focus is shifting from efficiency improvements to scaling and revenue creation.
Participants will gain practical insights into the key lessons learned by financial institutions (FIs) as they navigate from proofs of concept (POCs) to broader production use cases in live operations. With a focus on scaling GenAI solutions, the session will also explore how financial institutions can leverage GenAI not just for operational efficiency, but also as a driver for new revenue streams to ensure long-term success in a rapidly evolving landscape.
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