- 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 youll 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)
- Analyse and validate large, complex datasets across multiple systems.
- Write SQL queries to extract, reconcile, and interrogate data.
- Translate business requirements into clear data, functional, and technical specifications.
- Support data mapping, lineage analysis, and target-state data design.
- Design and execute test scenarios, reconciliation activities, and data validation checks.
- Facilitate User Acceptance Testing (UAT) and support implementation activities.




- Collaborate with stakeholders across Finance, Risk, Treasury, Regulatory Reporting, Data Management, and Technology teams.
- Identify opportunities to improve business processes, controls, and reporting through automation and AI-enabled solutions.
- Partner with business and technology teams to define requirements for AI, GenAI, and analytics initiatives.
- Leverage AI-powered tools to accelerate requirements analysis, impact assessment, documentation, and decision-making.
- Support the adoption and governance of AI-enabled business solutions, ensuring alignment with business objectives, regulatory requirements, and data quality standards.

What You'll Bring

Essential

- Robust data analysis skills with hands-on experience working with complex datasets.
- Solid SQL capability (data extraction, transformation, validation, and reconciliation).
- Experience delivering business and data analysis within a data, technology, or transformation environment.
- Ability to manage and communicate effectively with cross-functional stakeholders.
- Strong requirements gathering, process analysis, and documentation skills.
- Experience with data mapping, lineage, testing, and data quality controls.
- Excellent problem-solving,



critical thinking, and analytical capabilities.

Highly Desirable

- Experience in Liquidity, Treasury, Regulatory Reporting, or Finance Transformation.
- Knowledge of frameworks such as LCR, PRA110, DILAA/SOC, ALMM, and Basel regulatory requirements.
- Understanding of data modelling, data governance, mapping, lineage, and data quality management.
- Experience working within Agile or hybrid delivery environments.
- Exposure to cloud-based data and analytics platforms.

AI & Digital Transformation Experience (Highly Desirable)

- Experience identifying and delivering business value through AI, Generative AI, and intelligent automation solutions.
- Ability to translate business problems and opportunities into AI-enabled use cases and functional requirements.
- Experience assessing, documenting, and prioritising AI-related business requirements, risks, controls, and success measures.
- Familiarity with AI-powered productivity and analytics tools such as Microsoft Copilot, Power BI Copilot, Azure AI, or similar platforms.
- Understanding of AI governance, responsible AI principles, data privacy, and regulatory considerations.
- Experience supporting AI-driven process improvements, business insights, decision support, or reporting automation initiatives.
- Ability to evaluate the business impact, benefits, and adoption requirements of AI-enabled solutions.
- Knowledge of techniques such as predictive analytics, intelligent automation, process mining, and AI-assisted decision-making.

📌 BA Liquidity with AI Opening with CAPCO (Gurugram)
🏢 CAPCO
📍 Gurugram