
Assistant Vice President
2 weeks ago
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
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