Vice President, Analytics - Assets, Consumer Banking Group

Business Function

As 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

To support the data driven decision making for DBS products, processes, and business through the creation of data dashboards, infographics, models per business requirement.

Key Accountabilities

Develop statistical learning models by using AI / ML Techniques

Identify insights (opportunities) for business growth and communicate results and ideas to key decision makers

Regular portfolio health check-ups through Business Insights and identifying areas of growth and areas of sluggishness within portfolio

Drive insight led actionables to help achieve portfolio targets

Support business in meeting the Budgets through Analytical Insights; support stakeholders in Business Reviews

Job 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 to formulate problems 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 experience

Required Experience

Non-technical Experience

Strong academic background

Should be self-motivated, adaptable, focused and well organized

Should possess a creative bent of mind and should be a strategic thinker

Technical Experience

12-15 years of experience in Data Science/Analytics (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 NoSQL and Hadoop using SQL, Hive, Spark, etc.,

Programming experience in Python

Good understanding of technology tools especially those related to analytics, data & modelling

Ability to communicate complex analysis/models across a diverse team

Good written and oral communication skills

Education / Preferred Experience

B.Sc./ M.Sc. or equivalent degree in Statistics, Analytics, Applied Mathematics, Operation Research, or equivalent quantitative fields preferred.

Prior Working experience of AI / ML / DS is must.