Specialist Analytics - (WD63178)
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
- 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
- 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
- Engage with business and product teams on the problem formulation and create solution f ramework
- 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
- Understand the Product Journeys and help business to improve the customer experience
Required Experience
- 3-12 years of experience in Data Science/Analytics (consumer banking, ecommerce, retail, telecoms, technology) 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, Spark, etc.,
- Programming experience in Python, R, Spark, SAS, TensorFlow or other machine learning oriented programming languages/platforms.
Education / Preferred Experience
- B.Sc./ M.Sc. or equivalent degree in Statistics, Analytics, Applied Mathematics, Operation Research, or equivalent quantitative fields preferred.
Core Competencies
- Good written and oral communication skills.
- 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 Competencies
- Prior Working experience of AI / ML / DS is must
- 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.
Work Relationship
- Will be working with Product team, Internal Analytics team, Risk team
- Will be working with BFL team
DBS India - Culture & Behaviors
- Drive performance through Value Based Propositions
- Build pride and passion to protect, maintain and enhance DBS’ image and reputation
- Enhance knowledge base, build skill sets & develop competencies
- Invest in team building & motivation through ideation & innovation
- Execute at speed while maintaining error free operations
- Develop a passion for performance and grow the talent pool
- Maintain the highest standards of honesty and integrity.
Primary Location
: India-Maharashtra-Regional Office Mumbai
Job
: Analytics
Schedule
: Regular
Employee Status
:
Full-time
:
Job Posting
: Mar 27, 2024, 6:20:52 AM
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