Senior Analytics Manager-Digital Banking Kotak 811-Regional Sales

Senior Analytics Manager– Kotak811 Kotak811 is a Neobank incubated by Kotak Mahindra Bank, with a view of providing completely digitized banking services in the convenience of the customer’s mobile phone. 811 is an early mover in the Indian fintech space that started off as a downloadable savings bank account in 2017, post demonetization, when India took one step closer to a digital economy. This role, based out of Bangalore, will be part of the 811 Data Org that comprises Data Engineers, Data Scientists and Applied Sciences professionals. He/she will be associated with one of the key functional areas such as Product Strategy, Cross Sell, Asset Risk, Fraud Risk, Customer Experience etc. and help build robust and scalable solutions that are deployed for real time or near real time consumption and integrated into our proprietary Customer Data Platform (CDP). This is an exciting opportunity to work on data driven analytical solutions and have a profound influence on the growth trajectory of a super fast evolving digital product. The Role: VP Analytics & Data science will lead a charter in the central data science team at Kotak811. This will give you an opportunity to work in a fast-paced environment aimed at creating a very high impact and to work with a diverse team of smart and hardworking professionals from various backgrounds. Some of the responsibilities include working with large, complex data sets, developing strong business and product understanding and closely being involved in the product life cycle. Roles and Responsibilities: ● You will work with large, complex data sets to solve open-ended, high impact business problems using data mining, experimentation, statistical analysis, related techniques, machine learning as needed ● Designing and implementing both the tactical and strategic data-driven initiatives working with business and risk functions. ● You would have/develop a strong understanding of the business & product and conduct analysis to derive insights, develop hypotheses and validate with sound rigorous methodologies or formulate the problems for modeling with ML ● You would apply excellent problem-solving skills and independently scope, deconstruct and formulate solutions from first principles that bring outside-in and state of the art view ● You would be closely involved with the product life cycle working on ideation, reviewing PRDs, defining success criteria, instrumenting for product features, Impact assessment, and identifying and recommending improvements to further enhance the Product features ● You will develop compelling stories with business insights, focusing on the strategic goals of the organization ● You will work with Business, Product, Engineering and Data engineering teams for continuous improvement of data accuracy through feedback and scoping on instrumentation quality and completeness ● Set high standards in project management; own scope and timelines for the team ● Take responsibility for skill-building within the organization (training, process definition, research of new tools and techniques, etc.) ● Set performance benchmarks for the team; mentoring analysts within the team to deliver effectively, incubating new ideas. This is an Internal document. ● Own prioritization with stakeholders; negotiate and ensure high impact for work ● Create a roadmap/strategy for the respective business unit in collaboration with stakeholders. Mandatory Qualifications: ● Bachelor's/Master’s degree in Engineering, Economics, Finance, Mathematics, Statistics, Business Administration or a related quantitative field ● 10+ years experience in Analytics & Data Science, 5+ years experience in a Tech Ecosystem, preferably in Fintech ● Hands-on experience in SQL and Python ● Define the business and product metrics to be evaluated, work with engg on data instrumentation, create and automate self-serve dashboards to present to relevant stakeholders leveraging tools such as PowerBI, etc. ● Hands-on experience in working with large scale structured, semi-structured and unstructured data and various approaches to preprocessing/cleansing data, dimensionality reduction ● Work experience in Consumer-tech organizations would be a plus ● Developed a clear understanding of the qualitative and quantitative aspects of the product/strategic initiative and leverage it to identify and act upon existing Gaps and Opportunities ● Hands-on experience of A/B testing, Significance testing, supervised and unsupervised ML, Web Analytics and Statistical Learning Location: Bangalore - Hybrid