Business Analyst - Liquidity

“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the  British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. 

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

We believe that diversity of people and perspective gives us a competitive advantage.

Job Description: 

Experience : 8-15 years

Analyse and validate large, complex datasets across multiple systems
Write SQL queries to extract, reconcile, and interrogate data
Translate business requirements into clear data and functional specifications
Support data mapping, lineage, and target-state design
Design and execute test scenarios and data validation checks
Facilitate UAT and support implementation activities
Collaborate with stakeholders across Finance, Risk, Treasury, and Technology

What you’ll bring 
Essential: 
Strong data analysis skills with hands-on experience working with complex datasets
Solid SQL capability (data extraction, transformation, validation)
Experience delivering analysis within a data or technology environment
Ability to manage and communicate with cross-functional stakeholders

Highly desirable: 
Experience in Liquidity, Treasury, Regulatory Reporting
Knowledge of frameworks such as LCR, PRA110, DILAA/SOC, ALMM
Understanding of data modelling, mapping, and data quality controls
Exposure to AI / advanced analytics techniques (e.g. data-driven automation, machine learning, or AI-enabled insights)