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**Create the future with Affin! ​​You too can make a difference.** ================================================================== _We continuously innovate to transform our financial services landscape - making banking better and easier. Join us at AFFIN, where the open minds meet and be inspired by a shared commitment to great work. You too can make a difference._ **Job Purpose** Process the data and turn it into usable data products that are useful and meaningful to the business to uncover insights, patterns, and relationships from a labelled training dataset and produce an inferred function. **Accountabilities** * Identify, assess and analyze relevant datasets along with Business Analysts in IT, Data Governance and Business Users. * Perform and contribute to ongoing management of new and existing datasets in the Enterprise Data Hub for data analytics purposes. * Design and upkeep explanatory data models. * Produce predictive models (e.g., propensity, churn, response, cross-sell) and maintain plus evaluate models’ performance. * Contribute to data strategy with Data Governance and Data & Analytics team. * Conceptualize financial drivers of bank activities and translate them into quantitative systems using advanced analytics, including machine learning techniques. * Analyze cross-data correlations and portfolio dependency/performance in different macro environments. * Manage the coordination with Data Engineer, Data Governance and IT teams to ensure best practices are utilized. * Lead and manage meetings with team members regarding data projects governed by Data & Analytics Projects Delivery Model. * Automate and integrate business processes based on request and own research. Propose new use cases to the bank with the assistance of Data & Analytics team members. * Research solutions to overcome data analytics challenges. * Develop complex mathematical models that integrate business rules and requirements. * Create relevant machine learning models in the Google Cloud Platform environment. * Communicate and meet with relevant stakeholders, IT teams, and other interested parties. * Share complex ideas verbally and visually in an understandable manner with non-technical stakeholders. * Execute end-to-end analytics for marketing and customer campaigns, including leads generation, leads tracking, and post-campaign analysis. **Job Requirements** * Has a BSc/Masters in Data Science or equivalent. * Has a minimum four years of experience in data science and advanced analytics jobs. * Good knowledge of Univariate and Multivariate Analysis, Missing Value Treatment, Outlier Detection and Treatment, Probability, Statistics, Statistical Modeling, Supervised, Unsupervised Learning, Time-Series Analysis, Feature Engineering, Model Deployment and Mathematical Optimization. * Understanding of programming language (Python and R or equivalent) and common data structures and algorithms for data processing and Data Science Modelling. * Has a good understanding of data warehousing and cloud infrastructure for Data Science solutions. * Familiarity with high-performance computing. * Recognize and understand various Business Intelligence Tools and Participate in the development of dashboards. * Expected to keep up with new technologies and apply effects on the existing environment. * Good to have experience in campaign analytics, lead generation, or marketing data science. * Good to have experience with campaign tracking, attribution, and performance measurement. * Must be a team player and team builder to maximize the synergies between each of the teams, which will play a part in the overall success of the Unit. * Highly self-motivated and self-directing. Should have the required experience and confidence to independently manage, coordinate and implement an agreed plan of multiple activities. * Must have skills in Analytical Thinking, numerically strong, Planning and Organizing, Monitoring Performance, empowerment & Goal Setting. * Ability to manage projects while working under pressure, have high spirit, improving as per coaching, attitude & behavior in the office. * Change management. * Problem solving