Assistant Vice President / Wealth Analytics, Data Chapter

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

• Identify insights (opportunities) for Wealth 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 Wealth portfolio
• Drive insight led actionables to help achieve Wealth portfolio targets

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

Job Duties & responsibilities

• Engage with Wealth 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
• Work with large datasets, distributed Big Data Platforms for a variety of advanced analytics solutions across the bank ranging from recommendation engines, customer segmentation, Graph models, pricing, propensity models, and more
• Hands on experience in PySpark, Python, SQL, etc. along with team management.
• Understand the Product Journeys and help business to improve the customer experience.
• Having knowledge if building statistical learning models by using AI / ML Techniques will be added advantage

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

• 10-13 years of experience in Analytics (Banking, Ecommerce, Retail, Telecoms, Technology) with demonstrated track of generating value through influencing Business decisions backed by Data Insights
• Should have full understanding of Wealth Products and business problems
• Proficiency in using databases like PySpark, Python, SQL, etc.
• 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

• Sc./ M.Sc. or equivalent degree in Statistics, Analytics, Applied Mathematics, Operation Research, or equivalent quantitative fields preferred.
• Prior Working experience of Analytics is must