Back
Medium — Tier-1 bank, metro location and mid-level role, but specialized ML/big-data requirements limit applicant pool.
Medium — ML skills transferable, but banking and regulatory domain knowledge increases specialization.
High — explicit 5–7 years requirement plus mandatory ML, big-data, and deployment skills.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Analyze trends in Corporate and Investment Banking operations using large datasets and advanced analytics techniques.
Build dashboards on Tableau and develop machine learning models end-to-end, from data collection to deployment and monitoring.
Manage multiple operations projects, engage with business/product teams, and drive insight-led actions to improve customer experience and achieve business targets.
5-7 years post-qualification experience in performance and business monitoring functions within banking/financial services.
Strong skills in data analysis, Tableau dashboard creation, advanced analytics, and machine learning model deployment.
Understanding of banking operations, products, regulatory environment, and ecosystem.
Preferred qualifications: MBA or Chartered Accountant or equivalent degree; Location: Mumbai.
Experienced in operational analytics and project management within Corporate and Investment Banking.
Capable of working with cross-functional stakeholders to deliver actionable insights and operational improvements.
Skilled in translating analytical findings into business value through model deployment and strategic initiatives.