• To actively lead, participate and contribute in identification of business use-cases for innovative ideation, design, build, test, and execution for Digital Marketing and Digital Retail Bank units to uplift business revenue or in cost optimization efforts.

• To develop and deliver business use-cases for innovative ideation, design, build, test, and execution for Digital Marketing and Digital Platform units to achieve business targets.

• To influence business teams on the required data-driven solutions and the recommended approached.

• To engage with respective Digital Marketing and Digital Retail Bank stakeholders to ensure alignment on data-solutions, deliverables and standards against Business Challenges.

• To develop and work complex rules to enable x-sell and personalization with the right offer to the digital platforms.

• To engage with the Business teams on business opportunities & segment leads on core priorities and business impact.

• To work closely with business owners to address business problem using data analytics to provide insights for business decision making.

• To be embedded into business squad team in Agile methodology for better business knowledge improvement and provide value to business.

• To develop and execute advanced analytics solutions focusing mainly on development of machine learning models to business units.

• To identify, design, develop and execute the required analytical algorithms, techniques and statistical methods to address and then solve business problems through data solutions.

• To understand the algorithms/methodologies related implications of advanced analytics solutions, and assist in defining the solutions to support any future business requirements.

• To build revenue tracking for management reporting on Analytics use cases.

• To present business Opportunities, reviewed and expected results with Product owners.

• Experienced in engaging Business teams on Business Values and good understanding of Core P & L impact Management.

• Minimum 6 years’ experience in analytical and statistical modelling related roles with at least 2 years Digital Banking experiences (or working in a Fintech).

• Proficient in SAS Programming (minimum 5 years) and Proficient Python Programming Language.

• Ability to generate analytical insights to business problems.

• Present and communicate with clarity the analytical solutions.

• Work in Agile Environment.

• Deep expertise in data mining, analytical techniques & solutions.

• Hands on experience in handling & managing large quantum of data via appropriate tools & techniques.

• Excellent understanding of relevant Big Data tools like SAS, Tableau.

• Data Modelling experience (e.g. demand forecasting, segmentation, propensity).