Screening questions will verify hands‑on experience with CCR exposure metrics, derivatives risk environments, and data validation in risk change programmes.
📍 Mumbai (Hybrid)
🏦 Banking / Financial Services – Risk Change Programme
💼 Experience: 4–8 years
We are hiring a Business Analyst with hands‑on Counterparty Credit Risk (CCR) experience to support risk transformation and regulatory initiatives within a global financial services environment.
Role Overview
As a Business Analyst in the Risk Change team, you will support delivery of projects related to:
- Counterparty Credit Risk exposure calculations
- Risk data platforms and analytics frameworks
- Regulatory change initiatives
- Strategic risk system transformations
Key Responsibilities
Risk Change Programme Delivery
- Support delivery of Counterparty Credit Risk change initiatives
- Work with risk stakeholders to capture business and functional requirements
- Contribute to risk platform and data architecture enhancements
Business Analysis
- Produce documentation including BRDs, functional specifications, and process flows
- Create data mapping artefacts and workflow diagrams
- Ensure documentation aligns with SDLC governance standards
Requirements & Stakeholder Management
- Participate in requirements workshops with risk SMEs
- Translate discussions into user and functional requirements
- Collaborate with Risk, Technology, and Front Office teams
Testing & Implementation
- Support test planning and test strategy development
- Write test cases and scenarios
- Coordinate User Acceptance Testing (UAT) cycles
- Track defects and support release implementation
Data Analysis
- Perform data validation against risk models and business rules
- Support analysis related to risk exposure calculations
- Work with risk data models and exposure datasets
Domain Expertise Required
Candidates should have working exposure to Counterparty Credit Risk frameworks, including familiarity with:
- Potential Future Exposure (PFE)
- Expected Exposure (EE / EEPE)
- Probability of Default (PD)
- Loss Given Default (LGD)
- Exposure at Default (EAD)
- Value at Risk (VaR)
- Risk Weighted Assets (RWA)
Experience with IMM modelling approaches, derivatives exposure modelling, or stress testing frameworks is advantageous.
Exposure to regulatory frameworks such as:
is beneficial.
Business Analysis Skills
- Requirements elicitation and documentation
- Business Requirement Documents (BRD)
- Functional specifications
- Process flows and data mapping
- Agile or Waterfall SDLC environments
- User Acceptance Testing coordination
Ability to perform structured data analysis and validate outputs against business rules is expected.
Technical Skills
- SQL for data querying and validation
- Advanced Excel and PowerPoint
- Visio / process modelling tools
- Exposure to Python for data analysis or automation (advantageous)
Ideal Candidate Profile
- Experience working in Counterparty Credit Risk or derivatives risk environments
- Delivered risk change or regulatory programmes
- Worked with risk exposure calculations or risk data platforms
- Experience supporting UAT and data validation in banking projects
Education & Certifications
- Degree in Finance, Engineering, Mathematics, Computer Science, or related discipline
- Certifications such as FRM, CFA, PMP, or CQF are advantageous
- MBA in Finance or Risk is a plus