Lead data analysis to surface business insights and portfolio health; partner with product and regional teams to define metrics; design A/B tests and validate models; support data engineering to build automated pipelines and dashboards; drive ML product testing, deployment, and data-driven improvements to customer journeys.
Business Function
Here at the DBS Transformation Group, we focus on nurturing the culture of the “World’s Best Bank” (Euromoney 2018, 2019 and 2020). Our approach is a combination of both science and art. We immerse our stakeholders in the world of design thinking and experimentation, drive rigorous creativity along our innovation pipeline, and build connections between corporate entrepreneurs and start-ups. We are a cross-disciplinary team focused on the invention of solutions that will radically improve the way people live, work and play. We are passionate and committed to making banking joyful (while having lots of fun)!
Job Purpose
- Identifying the Opportunities for Business growth
- Support business in meeting the Budgets through Analytical Insights
- Communicate results and ideas to key decision makers
Key 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 Reviews
- Support key business initiatives for data driven decisioning
Job Duties & Responsibilities
- Structure, define and execute data analysis to uncover insights and inform decision making for digital bank
- Engage with business and product teams on the problem formulation and create solution framework
- Collaborate with regional & local counterparts to define and align performance metrics
- Support ad-hoc data requests for management meetings
- Formulate requirements and work with data engineering and technology team to develop and validate automated data pipelines for business performance dashboards
- 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
- Understand the Product Journeys and help business to improve the customer experience
Requirements
Non-technical Experience
- Should have full understanding of at least one Banking Product
- Strong academic background
- Should be self -motivated, adaptable, focused & well organized
- Should possess a creative bent of mind and should be a strategic thinker
Technical Experience
- 3-7 years of experience in Data Science/Analytics (Consumer Banking, Ecommerce, Retail, Telecoms) with demonstrated track of generating value through data driven 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, PySpark, etc.
- Programming experience in Python, R, PySpark, 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.
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 Analytics is must
Location:
Regional Office MumbaiJob:
AnalyticsSchedule:
RegularEmployee Status:
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