SERVICES
Risk analytics grounded in the same controlled portfolio data used by operations.
Produce agreed exposure, concentration, scenario and risk views with transparent assumptions and data lineage.
Overview
Risk analytics transforms portfolio positions, valuations, market data and approved methods into views used to understand exposure and risk. Depending on strategy, measures can include concentration, leverage, liquidity, factor exposure, scenario/stress tests, VaR or asset-specific credit/market metrics.
Most relevant to hedge funds, asset managers, multi-managers and sophisticated family offices; private-credit/real-asset strategies may use more asset-specific measures.
Why it matters
Risk reports lose credibility when their position set differs from operations or methodology assumptions are opaque. We tie analytics to validated portfolio data and make the methodology, assumptions and limitations visible.
Common operating challenges
- Risk data differs from official positions.
- Exposure classifications inconsistent.
- Method assumptions undocumented.
- Reports arrive too late.
- No drill-down from risk number to position/source.
What we deliver
| Capability | What it covers |
|---|---|
| Exposure analytics | Sector, geography, currency, issuer, asset and strategy views. |
| Concentration / limits | Monitor approved thresholds. |
| Scenario / stress support | Run defined shocks/scenarios. |
| Risk metrics | Calculate agreed measures using validated methodology. |
| Risk reporting | Deliver recurring dashboards/packs. |
| Data/control support | Reconcile analytics population to controlled portfolio data. |
Our role can be configured around a defined operating mandate: a recurring managed service, a technology-enabled client workflow, or a co-sourced model in which execution and review are split between Kelton, the client and appointed providers.
Inputs, workflow and outputs
Typical inputs
- Validated positions
- Market/pricing data
- Security/reference data
- Risk factor/model inputs
- Fund guidelines/limits
- Approved methodology
Controlled workflow
| Step | Activity | What happens |
|---|---|---|
| 1 | Reconcile portfolio | Confirm analytics population. |
| 2 | Classify | Map exposures and risk attributes. |
| 3 | Calculate | Apply approved methodology. |
| 4 | Validate | Run reasonableness/movement tests. |
| 5 | Review exceptions | Investigate limit or data issues. |
| 6 | Publish | Release risk view with assumptions/lineage. |
Typical outputs
- Exposure dashboard
- Concentration report
- Limit monitoring
- Scenario/stress outputs
- Risk metric report
- Exception/methodology notes
Controls and review
The workflow is designed so that automation does not obscure responsibility. Routine processing can be standardised; exceptions, material judgements and formal approvals remain visible and attributable.
- Use approved/reconciled positions.
- Model/methodology version control.
- Separate limit breaches from data-quality issues.
- No unvalidated AI-generated risk model.
- Clear decision-support—not investment advice—language.
Responsibility boundary
We provide analytics/reporting support. Portfolio risk decisions, investment advice and formal risk-management responsibility remain with authorised investment/risk professionals.
Technology & expertise
Our operating model combines specialist knowledge with controlled technology. Domain experts define the rules, review logic and exception criteria; the technology layer makes the workflow repeatable, traceable and scalable.
Technology
- Portfolio analytics engine.
- Risk-factor/scenario calculations.
- Classification/exposure mapping.
- Limit monitoring.
- Drill-down/data lineage.
Expertise
- Risk reporting and portfolio analytics.
- Hedge/multi-asset exposure concepts.
- Data validation.
- Model governance and interpretation support.
Expert knowledge is converted into controlled rules, SOPs, checklists, validation tests and exception criteria so that the operating standard is embedded in the workflow rather than dependent on one individual.
Delivery models
| Model | How it works |
|---|---|
| Managed Operations | We execute the agreed recurring workflow. Client and appointed-provider approvals remain explicit. |
| Technology Enablement | We implement the data, workflow and control layer for the client team to operate. |
| Hybrid / Co-sourced | Execution and review are shared through a documented responsibility and escalation model. |
| Transition & Implementation | We mobilise the workflow during a launch, provider change or target-operating-model transition. |
Frequently asked questions
Which risk measures should be listed?
Only measures Kelton can genuinely support; market examples include exposures, VaR, stress and factor analytics.
Does this replace a CRO/risk manager?
No. It supports data and analytics while formal risk oversight remains with responsible professionals.
Why connect risk to operations?
Using the same reconciled positions reduces conflicting numbers across risk, accounting and operations.
Discuss Risk Analytics
Start with one workflow, one operating issue or one provider transition. We will map the current process, responsibility boundaries, required data and a practical first engagement.