Senior Associate | Business Analytics

Senior Associate - Business Analytics - ( WD31843 )Consumer Banking GroupAs the leading bank in Asia, DBS Consumer Banking Group is in a unique position to help our customers realise their dreams and ambitions. As a market leader in the consumer banking business, DBS has a full spectrum of products and services, including deposits, investments, insurance, mortgages, credit cards and personal loans, to help our customers realise their dreams and aspirations at every life stage. Our financial solutions are not only the best in the business they were made just right for you.Job Purpose Develop statistical learning models by using AI / ML Techniques Identifying the Opportunities for Business growth Support business in meeting the Budgets through Analytical Insights Communicate results and ideas to key decision makersKey Accountabilities:- Regular Portfolio Health Check-ups through Business Insights Identifying areas of growth and areas of sluggishness within portfolio Drive insight led actionables to help achieve portfolio targets Support Stakeholders in Business ReviewsJob Duties & responsibilities:- Involve in building Machine Learning models, data science solutions and working with state-of-art data science and Machine Learning Tools such as Spark, Sklearn, Tensorflow, and will have mastery in any number of Analytic Programming languages/platforms like Python, R. etc. Work with large datasets, distributed Big Data Platforms for a variety of advanced analytics solutions across the bank ranging from recommendation engines, propensity models, customer segmentation, Graph models, Credit underwriting model, pricing and more Engage with business and product teams on the problem formulation and create solution framework End-to-End execution from data collection, analysis, feature engineering, model development, implementation (including testing) and monitoring Design A/B test experiments to test the model effectiveness and Analyze to identify the target segments Drive the testing and deployment of the machine learning products into production Excellent pattern recognition and predictive modelling skills Understand the Product Journeys and help business to improve the customer experienceRequired ExperienceNon-technical Experience Strong academic background Should be self-motivated and adaptable. Should possess a creative bent of mind and should be a strategic thinker. Should be focused and well organizedTechnical Experience 3-12 years of experience in Data Science/Analytics (consumer banking, ecommerce, retail, telecoms, technology) with demonstrated track of generating value through DS/ML/AI solutions. Should have full understanding of applications of DS/ML/AI solutions to various business problems. Proficiency in using databases like Teradata, NoSQL and Hadoop using SQL,Hive, Spark, etc., Programming experience in Python, R, Spark, SAS, TensorFlow or other machine learning oriented programming languages/platforms. Good