Unified ESG & climate risk analytics
Unify financial portfolio data and non-financial data, run forward-looking ESG and climate stress scenarios, and support CSRD, EU Taxonomy, and Pillar 3 ESG disclosures - enabling banks to embed ESG and climate risk into credit, capital, and risk decisions with full transparency and auditability.
Get a demo.png)
Why banks choose Opensee for ESG and climate risk analytics
Key capabilities of Opensee for ESG and climate risk analytics
Centralize ESG data from all sources with full traceability
Consolidate ESG ratings, energy performance data, emissions estimates, and physical and transition climate risk indicators alongside credit exposures, collateral, and capital metrics. Analyze ESG & climate risk at any level—from group & portfolio to individual counterparty, facility, or property—while preserving full lineage, versioning, and auditability.
Centralized ESG data from rating providers, climate vendors, and internal sources
Physical climate risk data (EPC scores, flood and heat risk, geolocation-based hazards)
Transition risk indicators (sector classifications, emissions intensity, policy sensitivity)
Carbon emissions data with intensity metrics
Stress test climate and transition risk impacts on credit and capital
Move beyond static ESG disclosures by running climate and transition stress scenarios aligned with supervisory expectations. Assess the impact of physical and transition risk on collateral values, LTVs, credit risk metrics, RWA, and capital adequacy, with consistent assumptions and full transparency down to individual exposures.
Scenario analysis (baseline, adverse, net-zero transition paths)
Physical risk stress testing on collateral (floods, heat stress)
Transition risk simulations (carbon pricing, sectoral transition pathways, policy changes)
Forward-looking impact analysis on credit risk metrics, RWA, and capital
Aggregate, score, and analyze ESG data across any dimension
Navigate multidimensional ESG datasets using flexible aggregation and drill-down across sectors, geographies, portfolios, & counterparties. Build internal ESG indicators & climate risk views and analyze exposures to identify transition and physical risk concentrations.
Multi-dimensional aggregation by sector, geography, counterparty, and asset class
Bank-defined ESG & climate risk indicators and scoring methodologies
Mortgage & real estate analytics by EPC and physical risk exposure
ESG & climate concentration & portfolio sensitivity analysis
Automate ESG and climate risk regulatory reporting
Support ESG and climate risk reporting obligations with consistent, auditable data and calculations. Generate inputs for CSRD, EU Taxonomy, and Pillar 3 ESG disclosures, with full traceability from reported figures back to underlying exposures, collateral, and assumptions.
Taxonomy-aligned climate risk disclosures and metrics
CSRD and EU Taxonomy data preparation and alignment
Green Asset Ratio (GAR) calculation and monitoring
Pillar 3 ESG disclosures with full lineage, versioning, and audit trails
Explore more Opensee solutions
Counterparty Credit Risk
SA-CCR, IMM-CCR, SA-CVA, and xVA calculations with full explainability—at any granularity, with sub-second response times on billions of exposures.
Market Risk
Monitor, explore, and explain real-time VaR, sensitivities, and stress scenarios. Be ready for FRTB SA and IMA, with zero trade-offs between regulatory accuracy and 1LOD/2LOD explainability.
Banking Credit Risk
Monitor credit risk across retail, SME, and corporate portfolios by exploiting PD, LGD, and EAD outputs, analyzing provisions and RWA, and identifying emerging risks early.
Collateral & Margin Management
Monitor SIMM exposure, optimize collateral allocation, and automate margin workflows in real time, with AI-driven insights and full regulatory audit trails.