Senior Associate - Analytics - Banking

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 framework

- Design A/B test experiments to test the model effectiveness 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

Technical Experience:

- 4-12 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.

- Good understanding of technology tools especially those related to analytics, data & modelling.

- Ability to communicate complex analysis/models across a diverse team.

- Good written and oral communication skills.

- Expert in Credit Card Business Knowledge

Note: Candidates with 60 days or less notice period should only apply