Business Analyst (Wholesale Banking)

We are looking for a Data Analyst - Wholesale Banking with a strong understanding of Wholesale Banking operations, particularly Cash Management Services (CMS), Corporate Banking, and Trade Operations.

The role focuses on data analytics, MIS and regulatory reporting, reporting automation, and operational insights. You will work closely with Business, Operations, Technology, Compliance, and Audit teams to improve reporting accuracy, automate manual processes, and enable data-driven decision-making. The ideal candidate combines banking domain knowledge with hands-on SQL, Python/PySpark, and data analytics experience.

The candidate will have responsibilities across the following functions:

Wholesale Banking Analytics and Business Insights:

• Analyse Wholesale Banking and CMS business data to identify trends, operational gaps, and improvement opportunities.
• Understand banking products, operational workflows, KPIs, and business reporting requirements.
• Collaborate with stakeholders to translate business requirements into actionable analytical solutions.

MIS, Reporting and Dashboards:

• Develop and publish daily, weekly, monthly, quarterly, and annual MIS and management reports.
• Build dashboards and analytical reports to support operational and management decisions.
• Ensure accuracy, consistency, and timely delivery of business and regulatory reports.
• Identify and resolve data discrepancies and reporting issues.

Data Analytics, ETL and Automation:

• Use SQL, Python and/or PySpark for data extraction, transformation, validation, and reporting.
• Automate recurring MIS and manual reporting processes to improve efficiency and accuracy.
• Work with data warehouses, data lakes, and enterprise data platforms.
• Support data ingestion, ETL workflows, and reporting automation initiatives.

Regulatory Reporting, Compliance and Audit:

• Support internal and external audits through accurate and timely data extraction and reporting.
• Work with Compliance teams on regulatory, audit, and ad-hoc reporting requirements.
• Ensure data quality, traceability, and adherence to governance standards.
• Support resolution of audit observations and compliance-related data queries.

Stakeholder Management and Collaboration:

• Work closely with Wholesale Banking, Operations, IT, Compliance, and Audit stakeholders.
• Gather reporting requirements and translate them into technical deliverables.
• Support UAT, report validation, and implementation of reporting enhancements.

The core requirements for the job include the following:

Banking Domain Knowledge:

• Good understanding of Wholesale Banking operations, especially Cash Management Services (CMS), Corporate Banking, and Trade Operations.
• Familiarity with banking KPIs, MIS, regulatory reporting, and operational processes.

Technical Skills:

• SQL: Intermediate proficiency in querying, extracting, joining, and analysing data.
• Python and/or PySpark: Intermediate proficiency in data processing, analytics, and reporting automation.
• Experience with ETL processes, data validation, and automation of reports.
• Familiarity with data warehouses, data lakes, and Big Data platforms.
• Working knowledge of Excel; Power BI/Tableau experience preferred.

Professional Skills:

• Strong analytical and problem-solving capabilities.
• Ability to work with both business and technology stakeholders.
• Good communication, reporting, and stakeholder management skills.
• Self-driven approach to automation, accuracy, and process improvement.

Experience:

• 3-6 years of experience in Wholesale Banking, Banking Analytics, MIS Reporting, or Data Analytics.
• Experience in banking reporting and automation projects preferred.
• Bachelor's degree in Engineering, Computer Science, IT, Finance, Statistics, or a related discipline.
• MBA in Finance/Banking is an added advantage.

Preferred Qualifications:

• You have experience working with Wholesale Banking / CMS / Corporate Banking data.
• You're comfortable working hands-on with SQL and Python/PySpark.
• You've worked on MIS reporting, ETL, data analytics, or reporting automation.
• You understand banking operations and can translate business requirements into data solutions.
• You enjoy solving operational problems through analytics and automation.