Data Analyst (Banking Domain Liquidity Risk)

Job Description:

We are looking for a skilled Data Analyst with strong expertise in SQL and Excel, preferably with experience in Liquidity Risk within the Banking domain. The ideal candidate will analyze large datasets, generate reports, and provide actionable insights to support risk management and financial decision-making.

Key Responsibilities:

Data Analysis & Reporting:

Extract, clean, and analyze large datasets using SQL and Excel.

Generate reports and dashboards to support liquidity risk management.

Identify trends and anomalies in financial data, providing actionable insights.

Database Management & Optimization:

Write complex SQL queries to retrieve and manipulate data from banking databases.

Optimize SQL queries for performance and efficiency in large financial datasets.

Ensure data accuracy and integrity by validating and reconciling data sources.

Stakeholder Collaboration:

Work closely with Risk, Treasury, Finance, and IT teams to support liquidity reporting and compliance.

Translate business requirements into technical data solutions.

Assist in automating and improving existing data processes.

Requirements

✅ SQL – Proficiency in writing complex queries, joins, and performance tuning.(min 5 Years of exp)

✅ Excel – Advanced Excel skills (Pivot Tables, VLOOKUP, Macros, VBA preferred). (Min 5 years of exp)

✅ Banking Domain – Experience in Liquidity Risk, Treasury, ALM, Basel III compliance.