Senior Officer, Data Analytics & Transformation Group, Risk Management Group

As an experienced Data Scientist/Analyst in the field of Analytics for the Banking industry, your role will involve the following key responsibilities and requirements: Role Overview: You will be responsible for identifying opportunities for business growth and supporting the business in meeting budgets through analytical insights. Your role will also involve communicating results and ideas to key decision-makers. Key Responsibilities: - Conduct regular portfolio health check-ups through business insights - Identify areas of growth and areas of sluggishness within the portfolio - Drive insight-led actionables to help achieve portfolio targets - Support stakeholders in business reviews - Support key business initiatives for data-driven decisioning - Structure, define, and execute data analysis to uncover insights and inform decision-making for the digital bank - Engage with business and product teams on 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 teams 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 machine learning products into production - Understand the product journeys and help the business to improve customer experience Qualification Required: - Full understanding of at least one banking product - Strong academic background - Self-motivated, adaptable, focused, and well-organized - Possess a creative bent of mind and be a strategic thinker - 3-5 years of experience in Data Science/Analytics (Consumer Banking, Ecommerce, Retail, Telecoms) with a demonstrated track record of generating value through data-driven solutions - 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 & modeling - Ability to communicate complex analysis/models across a diverse team - Good written and oral communication skills Please note that the job is based in the Regional Office in Mumbai and is offered on a full-time basis. This role requires a Bachelor's or Master's degree in Statistics, Analytics, Applied Mathematics, Operation Research, or equivalent quantitative fields. Prior working experience in Analytics is a must. We hope this overview provides you with a clear understanding of the expectations and requirements for this exciting opportunity in the field of Analytics within the Banking industry. As an experienced Data Scientist/Analyst in the field of Analytics for the Banking industry, your role will involve the following key responsibilities and requirements: Role Overview: You will be responsible for identifying opportunities for business growth and supporting the business in meeting budgets through analytical insights. Your role will also involve communicating results and ideas to key decision-makers. Key Responsibilities: - Conduct regular portfolio health check-ups through business insights - Identify areas of growth and areas of sluggishness within the portfolio - Drive insight-led actionables to help achieve portfolio targets - Support stakeholders in business reviews - Support key business initiatives for data-driven decisioning - Structure, define, and execute data analysis to uncover insights and inform decision-making for the digital bank - Engage with business and product teams on 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 teams 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 machine learning products into production - Understand the product journeys and help the business to improve customer experience Qualification Required: - Full understanding of at least one banking product - Strong academic background - Self-motivated, adaptable, focused, and well-organized - Possess a creative bent of mind and be a strategic thinker - 3-5 years of experience in Data Science/Analytics (Consumer Banking, Ecommerce, Retail, Telecoms) with a demonstrated track record of generating value through data-driven solutions - Full understanding of applications of DS/ML/AI s