Executive Officer, DM - Regional Data Science COE MY
CIMB
Malaysia
Permanent
Full-time
18 days ago
Job Description : Job Purpose Develop analytical capabilities and algorithms that enable Regional countries to do targeted marketing, optimization of processes and support other function areas of the bank. Primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with the bank's products and functions. Key Responsibilities Strategy and Planning Support Big Data analytics for regional initiatives. Leverage state of the art algorithms to deliver value of big data to business. Business and Performance and Management Exploratory data analysis and model development using state-of-the-art methods, keeping abreast with latest developments in machine learning and applying them to solve business problems Selecting features, building and optimizing classifiers using machine learning techniques Extending company's data with third party sources of information when needed Enhancing data collection procedures to include information that is relevant for building analytic systems Processing, cleansing, and verifying the integrity of data used for analysis Perform analysis and presenting results in a clear manner Creating model automation to produce periodic output and constant tracking of its performance Work across the Region (Malaysia, Singapore, Indonesia and Thailand) to share model development best practice and approach Regulatory Compliance Ensures all Group Consumer operations are in compliance with Group, local and regional regulations Qualification Bachelor's Degree or Professional Qualification in the relevant discipline (Financial/Engineering/Computer Science/Actuarial Science/Statistics) Relevant Work Experience Candidate must have at least 1 - 2 year of hands on experience in statistical modeling using machine learning techniques Competencies/Skills Technical/Functional skills Demonstrated experience in applying and implementing machine learning techniques such as neural networks, SVM, recommender engines, deep learning algorithms etc Strong knowledge of common data science toolkits like tools like R / Python. Familiar in SQL and visualization tool such as Excel and QlikView Knowledge in Big Data Tools (e.g. Hive, Impala, Hadoop and Spark) is an added advantage. Personal skills (Soft Competencies [Core/Leadership]) Strong presentation and influencing skills required to put forward solution/ model to solve business problems Active team player that support various solution/ model initiatives across the bank Builds strong culture of excellent service and high performance
