Senior Associate, Data Analytics, Transformation & Data

As a member of the DBS Transformation Group, your role is to contribute to fostering a culture that aims to be recognized as the "World's Best Bank". This involves combining both science and art, engaging stakeholders in design thinking, driving creativity in innovation, and establishing connections between corporate entrepreneurs and start-ups. Your focus will be on inventing solutions that significantly enhance people's lifestyles and experiences, with a strong dedication to ensuring joyful banking experiences while enjoying the process. Key Responsibilities: - Conduct regular portfolio health check-ups using business insights to identify areas for growth and improvement within the portfolio. - Drive actionable insights to help achieve portfolio targets. - Support stakeholders in business reviews and key initiatives for data-driven decision-making. Qualifications Required: - Full understanding of at least one banking product. - Strong academic background. - Self-motivated, adaptable, focused, and well-organized individual with a creative mindset and strategic thinking abilities. As part of your job duties and responsibilities, you will: - Structure, define, and execute data analysis to uncover insights and guide decision-making for the digital bank. - Collaborate with business and product teams to formulate solutions and align performance metrics. - Engage with regional and local counterparts to define performance metrics. - Support management meetings with ad-hoc data requests. - Design A/B test experiments to assess model effectiveness and identify target segments. - Drive testing and deployment of machine learning products into production. - Enhance product journeys to improve customer experience. Requirements: Non-technical Experience: - 3-7 years of experience in Data Science/Analytics within industries such as Consumer Banking, E-commerce, Retail, or Telecoms, with a proven track record of delivering value through data-driven solutions. - Proficiency in using databases like Teradata, NoSQL, and Hadoop, along with programming languages like Python, R, PySpark, TensorFlow, etc. - Good understanding of technology tools related to analytics, data, and modeling. - Ability to effectively communicate complex analysis and models within a diverse team. - Strong written and oral communication skills. Education / Preferred Experience: - B.Sc./ M.Sc. or equivalent degree in Statistics, Analytics, Applied Mathematics, Operation Research, or related quantitative fields. - Prior working experience in analytics is a requirement. Location: Regional Office Mumbai Job: Analytics Schedule: Regular Employee Status: Full-time As a member of the DBS Transformation Group, your role is to contribute to fostering a culture that aims to be recognized as the "World's Best Bank". This involves combining both science and art, engaging stakeholders in design thinking, driving creativity in innovation, and establishing connections between corporate entrepreneurs and start-ups. Your focus will be on inventing solutions that significantly enhance people's lifestyles and experiences, with a strong dedication to ensuring joyful banking experiences while enjoying the process. Key Responsibilities: - Conduct regular portfolio health check-ups using business insights to identify areas for growth and improvement within the portfolio. - Drive actionable insights to help achieve portfolio targets. - Support stakeholders in business reviews and key initiatives for data-driven decision-making. Qualifications Required: - Full understanding of at least one banking product. - Strong academic background. - Self-motivated, adaptable, focused, and well-organized individual with a creative mindset and strategic thinking abilities. As part of your job duties and responsibilities, you will: - Structure, define, and execute data analysis to uncover insights and guide decision-making for the digital bank. - Collaborate with business and product teams to formulate solutions and align performance metrics. - Engage with regional and local counterparts to define performance metrics. - Support management meetings with ad-hoc data requests. - Design A/B test experiments to assess model effectiveness and identify target segments. - Drive testing and deployment of machine learning products into production. - Enhance product journeys to improve customer experience. Requirements: Non-technical Experience: - 3-7 years of experience in Data Science/Analytics within industries such as Consumer Banking, E-commerce, Retail, or Telecoms, with a proven track record of delivering value through data-driven solutions. - Proficiency in using databases like Teradata, NoSQL, and Hadoop, along with programming languages like Python, R, PySpark, TensorFlow, etc. - Good understanding of technology tools related to analytics, data, and modeling. - Ability to effectively communicate complex analysis and models within a diverse team.