Senior Associate, Data Scientist, 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.

Responsibilities

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 Reviews.

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 f rom 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 ef fectiveness 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

Requirements

Non-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 organized

Technical 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 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.

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We offer a competitive salary and benefits package and the professional advantages of a dynamic environment that supports your development and recognises your achievements.

Schedule: Full-time

Travel: