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The OFSAA Risk Management Syllabus covers how to use Oracle Financial Services Analytical Applications to measure, monitor, and control financial risks across banking and financial institutions. It explains the structure of risk data, regulatory calculations, reporting frameworks, and analytics used for credit, market, and operational risk management. This training is important because banks must meet strict compliance requirements while accurately assessing exposure and capital risk, and OFSAA provides the platform to achieve this. The course is best suited for risk analysts, risk managers, banking and finance IT consultants, data analysts in compliance roles, and OFSAA developers or functional consultants working on risk and regulatory reporting solutions.
Level: Intermediate → Advanced
Duration of Training : 40 – 50 Hours
Batch type : Weekdays/Weekends
Mode of Training : Classroom/Online/Corporate Training
Detailed Syllabus • Hands-on Labs • Assignments • Support-Focused • Implementation
Target Audience:
✔ Risk Analysts / Managers
✔ Credit/Market/Operational Risk Specialists
✔ Banking Domain / Finance IT Consultants
✔ Data Analysts in Risk & Compliance
✔ OFSAA Developers & Functional Consultants
Curriculum Designed by Experts
Topics Covered
Overview of financial risk types
• Credit Risk
• Market Risk
• Operational Risk
• Liquidity Risk
Role of Basel Accords (Basel II/III/IV)
Regulatory landscape & compliance
What is OFSAA Suite?
• OFSAA Risk (Credit, Market, Operational)
• OFSAA Framework / Shared Services
• Architecture & modules
Scenario
Banking risk breakdown and regulatory impacts
Topics Covered
OFSAA Logical & Physical Architecture
Data sources & integration layers
ETL/ELR components
Configurable components vs custom code
Security model & user roles
Lab
Explore OFSAA Risk UI & components
Topics Covered
Data modeling for risk – Risk entities
Data quality, hierarchy & reference data
Mapping source systems (core banking, market feeds)
Data validation rules
Historical time series management
Hands-On
Load sample risk datasets
Data quality checks & cleansing
Scenario
Prepare risk data for Basel reporting
Topics Covered
Credit risk lifecycle
Risk rating models & scorecards
Exposure at default (EAD) calculation
Probability of Default (PD) & Loss Given Default (LGD)
Credit risk workflows
Hands-On
Build a PD/LGD model in OFSAA
Configure exposure definitions
Assignment
Calculate risk weights for a loan portfolio
Topics Covered
Stress testing & scenario analysis
Expected Loss (EL) vs Unexpected Loss (UL)
Capital allocation methodologies
Collateral & guarantees handling
Regulatory capital calculations (Basel)
Lab
Perform stress test case on credit portfolio
Scenario
Submit regulatory credit risk report
Topics Covered
Market risk basics (VaR, SVaR, stress scenarios)
Risk factor definitions (rates, FX, equities)
Exposure & sensitivity measures
Back testing & model validation
Hands-On
Configure VaR model
Run VaR analysis & compare results
Assignment
Market risk dashboard report
Topics Covered
Loss event data capture
Risk and control self-assessment (RCSA)
Key Risk Indicators (KRIs)
Operational loss correlation & mapping
Scenario analysis
Lab
Configure operational risk event capture
Define KRIs and thresholds
Scenario
Operational risk mitigation recommendations
Topics Covered
Standard OFSAA reports
Custom report creation
Executive dashboards for risk KPIs
Drill-down analytical reports
Regulatory reporting templates
Hands-On
Build credit & market risk dashboards
Topics Covered
ETL / ELR automation workflows
Integration with core banking / data warehouses
Scheduling batch risk jobs
Alerting & risk exceptions
Lab
Build automated risk data pipeline
Project 1 — Banking Risk Portal
Deliverables:
✔ Credit risk model deployment
✔ Market risk VaR analysis
✔ Operational risk loss capture
✔ Risk dashboards & reports
✔ Regulatory report extracts
Project 2 — Regulatory Stress Test
Deliverables:
✔ Define stress scenarios
✔ Run stress tests
✔ Document compliance results
✔ Enterprise risk concepts (credit/market/operational)
✔ OFSAA Risk module configuration & usage
✔ Basel regulatory methodologies
✔ Data modeling & quality in risk systems
✔ Dashboards & reporting
✔ Real-world banking risk implementations
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