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Jupiter MetricEngine

For configurable, science-grounded metrics tailored to your business

Configure once, reuse everywhere
DYNAMIC METRICS BUILT ON WORLD-CLASS SCIENCE

Create the unique indicators your models require

Build custom indicators that align directly with your credit, pricing, capital planning, or stress testing needs — whether you need to quantify right-tail loss, define specific heat thresholds, or construct bespoke extreme event indicators.

Specify custom thresholds such as “days above 35°C” or “water levels beyond operational tolerances,” then compute exceedances across time,
Tailored indicators plug into existing financial models, improving accuracy without forcing teams to work around one-size-fits-all variables.
FUTURE-FOCUSED, SCENARIO-SPECIFIC MODELING

Translate future conditions into quantitative business signals

MetricEngine draws from Jupiter’s deep library of daily climate projections to deliver scenario-specific time series and probability distributions. Model conditions across decades and evaluate how changes in climate variability influence operational risk, loss potential, and financial performance.

Stochastic weather simulation and distribution sampling allow you to model future variability, not just long-term means, improving sensitivity analysis and stress testing.
Scenario-aligned projections support regulatory submissions, capital planning, and risk differentiation.
PRECISION AT ANY SCALE — FROM PORTFOLIO TO FACILITY

Construct return periods and loss curves for physical risk-driven extremes

Get calibrated insight into extremes, flood behavior, and regional exposure at any scale. Targeted Flood Analytics reduce uncertainty with multi-resolution flood modeling, from portfolio snapshots to facility-level depth and severity. Regional Indexing aggregates risk across flexible boundaries to support exposure analysis where asset-level data is limited.

Better insight into extreme events strengthens scenario design, expected-loss estimates, and tail-risk analysis.
Calibrated metrics reflect observed climate behavior, giving you confidence that modeled extremes are defensible and audit-ready.

Use cases

Stress testing

Run forward-looking scenarios that align with regulatory expectations and reveal how extreme events influence liquidity, losses, and capital needs.

Risk assessment and management

Quantify multi-peril exposure across assets and portfolios with transparent, audit-ready methods that strengthen enterprise risk frameworks.

Portfolio and asset management

Evaluate how climate-driven shifts affect valuation, performance, and long-term asset strategy — and identify where to rebalance early.

Due diligence and underwriting

Screen acquisitions, loans, and insurance decisions with scenario-aligned insights into future risk, operational disruption, and insurability.

Market value analysis

Understand how physical risk exposure may reshape future cashflows, discount rates, and long-term asset value across sectors and geographies.

Corporate guidance

Inform strategy, governance, and investor communication with clear physical risk-adjusted performance signals and defensible narrative support.

Resiliency planning and engineering

Model adaptation strategies — from site-level retrofits to infrastructure upgrades — using avoided loss and ROI to guide capital planning.

Supply chain risk assessment

Identify vulnerable suppliers, transport corridors, and logistics nodes, and benchmark resilience across global value chains.

Regulatory response and disclosure

Prepare consistent, defensible reporting aligned with ISSB/IFRS, CSRD, TCFD, OSFI, PRA, ECB, and other global mandates.

Additional Resources

ECB eBrief
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Jupiter Company Overview
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[eBook] The PRA Climate Risk Mandate: Turning Supervisory Expectations into Strategic Advantage
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