WHO WE ARE

Nomura is a global financial services group with an integrated network spanning approximately 30 countries and regions. By connecting markets East & West, we service the needs of individuals, institutions, corporates and governments through our three business divisions: Wealth Management, Investment Management and Wholesale (Global Markets and Investment Banking).
Driven by the insights of some 26,000 people worldwide, we put our clients at the center of everything we do, delivering unparalleled access to, from and within Asia. For further information about Nomura, visit www.nomura.com

ABOUT YOU

At Nomura, our goal is to attract and develop exceptionally talented people who share our passion for individual excellence and our commitment to teamwork. We are looking for individuals with outstanding academic and extra-curricular achievement, who will be able to withstand the rigors of a rapidly changing, demanding but ultimately rewarding environment.
We look for team players who are curious with strong quantitative skills and a keen interest in business and finance. Other common traits amongst our team are intelligence, curiosity, diligence, integrity and the willingness and capability to thrive under a challenging environment.

Due to the job nature, additional requirements are:

• Studying in quantitative fields, such as Computer Science, Data Science, Statistics or related disciplines would be advantage
• Intellectual curiosity to solve data driven problems
• Exposure & hands-on experience in executing data analysis using tools such as Python, R, SQL, PowerBI etc.
• Exposure to statistical methods, familiarity with Machine Learning methods is a nice to have
• Exposure to cloud tools such as AWS is nice to have, but not a must
• Ability to understand complex business and data systems
• Ability to clearly communicate complex results to technical and non-technical audiences
• Versatility and willingness to learn new technologies on the job

• Data engineering & technical skills: Build data pipelines both on-premise and on the cloud for governance automation
• Data Analysis: Work with Data Scientists and Engineers to deploy solutions to development/production environment
• Data Science and AI: Explore, develop, test and train ML Models that power solutions to identify and mitigate data and cloud risk
• Use Generative AI to explore and develop solutions to develop data and could controls to minimize risk
• Storytelling: Build and manage data visualization using PowerBI to create control monitoring for data, cloud and AI risk
• Communication: Collaborate with business leaders, subject matter experts, and decision makers to develop success criteria and optimize new data and Ai capabilities, features, policies, and models
• Understand the concepts of responsible AI development and incorporate the same during model development and deployment processes