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The Risk Data Scientist is supporting the Market Risk & Product Control analyst by managing the master data set, developing reports, and troubleshooting data issues. Additionally the Data Scientist supports the other teams within Risk Management Asia (Investment and Operational Risk) and other stakeholders, to establish and execute the Bank's risk analytical monitoring and reporting capabilities. The incumbent has strong organizational and project management skills and plays a key role in the development and implementation of the risk-analytics framework.
kEY FEATURES OF THE POSITION
Roles & Responsibilities
Identifying the data-analytics problems that offer the greatest opportunities to the organization Collecting large sets of structured and unstructured data from disparate sources Cleaning and validating the data to ensure accuracy, completeness, and uniformity Data mining using state-of-the-methods Develop operational models Selecting features, building and optimizing classifiers using machine learning techniques Enhancing data collection procedures to include information that is relevant for building analytic systems Doing ad-hoc analysis and presenting results in a clear manner
Client Management (internal & external)
Support local, regional, global and strategic CRO initiatives and contribute to all stages of projects for data analysis
Regulatory Responsibilities &/OR Risk Management
Demonstration of appropriate values and behaviours including but not limited to standards on honesty and integrity, due care and diligence, fair dealing (treating customers fairly), management of conflicts of interest, competence and continuous development, adequate risk management, and compliance with applicable laws and regulations Take responsibility for ensuring that risks and issues are identified and managed closely and drive all stakeholders to deliver on time and to the required quality standards
SKILLS REQUIREMENTS OF THE POSITION
Personal and Social
Pro-active, reliable and collaborative Strong project and change management skills Able to multi-task and manage complexity Communicates professionally and possess the ability to convince other stakeholders Strong statistical, analytical, conceptual and practical implementation skills Able to work under pressure Ability to analyse, model and interpret data
Professional and Technical
Bachelor's degree in math, statistics, computer science or a related subject Work experience as a data scientist Previous experience in banking preferred Data mining activities Excellent understanding of machine learning techniques and deep learning principles In-depth programming knowledge (SQL, R/Python coding) Data visualization tool knowledge