NOIDA · FULLTIME
FS-RISK CONSULTING-FSRM - Basel III Business Analyst_ CSTC-MANAGER

Ernst Young
Noida · onsite · Posted 4d ago
Sourced from
Undisclosed5–10 yrsfulltimeNoida
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Section · 01
About this role
Role Overview
Basel III Business Analyst Manager/Senior
The role is for a Basel III Business Analyst supporting the Basel III Proposal Roadmap implementation. The engagement focuses on restarting Basel III Proposal implementation program, adopting the Expanded Risk-Based Approach (ERBA), accelerating Single Counterparty Credit Limits (SCCL) gross exposure measurements, and onboarding incremental Basel III data requirements into the Unified Consumption Layer (UCL) Data Factory. The candidate will support exposure-pod based execution across credit risk, securitization, credit risk mitigation, derivatives / SA-CCR, operational risk, and related regulatory capital workstreams. The role requires strong business analysis, regulatory capital, data sourcing, data profiling, source-to-target mapping, calculation logic documentation, Axiom input mapping, controls design, testing, governance, and stakeholder management capabilities. The candidate will work closely with Risk, Finance, Technology, Data, Operations, and business stakeholders to produce implementation-ready requirements, support interim ERBA calculator development, and enable transparent program execution through high-quality documentation, testing, and governance routines.
Key Responsibilities - Support detailed implementation planning, governance, project management, status reporting, RAID / action trackers, decision logs, and senior stakeholder updates for the B3P Roadmap.
- Refresh the Basel III Proposal / ERBA gap assessment and identify new, modified, or enhanced data elements required for rule interpretation, regulatory capital calculations, and downstream reporting.
- Perform data profiling and fit-for-use analysis across existing UCL data elements and source-system data, including review of missing values, syntax consistency, data completeness, appropriateness for regulatory requirements, and data quality issues.
- Document data sourcing, transformation, derivation, and calculation logic requirements for ERBA exposure types including residential mortgage / MSR, CRE, retail, off-balance sheet, corporates, banks, securitization, credit risk mitigation, collateral haircut approach, derivatives / SA-CCR, and operational risk.
- Develop source-to-target mappings, business data dictionaries, data lineage, and transformation specifications to support onboarding of incremental Basel III data requirements into the UCL Data Factory.
- Support UCL Data Factory activities, including data movement logic, UCL data model design, legacy consumption views, UCL ADRS unification, semantic layer configuration inputs, and source-to-target reconciliation / data validation activities.
- Map data elements to Axiom-required calculation inputs and document the business rules, derivations, assumptions, controls, and evidence required to support regulatory capital processing.
- Assist in the design, build, and testing of interim ERBA calculators using available UCL data and direct source-system data until strategic UCL feeds are available.
- Support testing of calculator outputs, reconciliation of data and results, fit-for-use analysis, issue identification, remediation tracking, and user acceptance testing using project accelerators and agreed testing approaches.
- Identify and document controls for new or modified data elements, including preventative and detective controls, data quality checks, lineage controls, reconciliation points, and governance documentation.
- Recommend interim and strategic BAU data capture, data management, and process enhancements to support ERBA, SCCL gross exposure measurements, regulatory reporting, management reporting, and future-state capital insights.
- Coordinate with exposure pods, technology teams, and business stakeholders to drive agile execution across discovery, assessment, design, build, testing, and refinement sprints.
- Prepare clear, executive-ready documentation including requirements packs, mapping documents, control matrices, testing summaries, issue trackers, status decks, and steering committee materials.
- Responsibly use AI and automation tools to improve analysis, documentation quality, workflow efficiency, and delivery transparency while following engagement and client requirements.
- Must-have: Masters degree in business administration, finance, economics, engineering, statistics, information systems, or a related discipline, with at least 5 years of relevant experience in banking, consulting, risk management, regulatory capital, data
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Section · 02
Skills
Business ConsultingAutomationAgileAutomation ToolsAdvanced ExcelBusiness AnalystAsset ManagementAxiomcapital managementActuarialbasel iiiBusiness Analysisbusiness dataBankingAdministrationMicrosoft AzureArtificial IntelligenceBalance Sheet
Section · Company
About Ernst & Young

Ernst Young
Management Consulting
44k+
employees
2002
24 years old
Gurgaon / Gurugram, Haryana
India
₹15.3L PA avg
Avg at Ernst & Young
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