Back
High due to Tier-1 bank, metro Bangalore, mid-level generalist data analyst title, and broad Python/SQL requirements.
High because strong credit risk, CIB reporting and regulatory reporting experience are required and not easily transferable.
High because the JD specifies 5–7 years plus mandatory Python/SQL and credit-risk reporting domain expertise.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Strengthen data, automation, and control frameworks for CIB Credit Risk reporting, focusing on Financial Sponsors and Private Credit.
Design and manage data pipelines, automation of reporting processes using Python, SQL, Excel, and dashboard tools to improve reporting efficiency and accuracy.
Collaborate with reporting, technology, and risk teams to resolve data issues, enhance data quality controls, and support senior management reporting and compliance activities.
5 to 7 years of experience in data analytics, data management, risk reporting, financial or regulatory reporting within financial services.
Strong proficiency in Python for data wrangling, automation, validation, and process improvement.
Proficient in SQL, Excel, and data transformation; experience with dashboard/visualization tools preferred.
Bachelor’s or Master’s degree in computer science, data analytics, finance, economics, risk management, or related field.
Demonstrated experience in credit risk, CIB reporting, or related financial services data environments with understanding of risk appetite and stress testing integration.
Proven ability to design sustainable automation and control solutions that reduce manual processes and improve data reliability.
Experience working under time-sensitive reporting deadlines with strong stakeholder management across data, risk, and technology teams.