Position & Counterparty Risk
Live position, counterparty exposure, and mark-to-market risk visible in one place.
Most physical trading operations know their positions — but the picture arrives too late, from too many spreadsheets, with too little counterparty context. Colony aggregates positions across books, models exposure at counterparty level, and flags concentration and settlement risk before it becomes a problem.
Position risk lives in a spreadsheet. Counterparty risk lives in a Head of Trading's memory.
In mid-market physical trading, the daily risk view is often assembled from a manual pull across the OMS, TMS and counterparty ledger — every morning, by a risk analyst who becomes a bottleneck. Counterparty exposure across related group entities is rarely aggregated. Settlement risk on physical delivery is not routinely modelled. The result: risk decisions get made on stale, incomplete data.
Signals it is you
Daily risk pack assembled manually and arriving after markets open
No systematic aggregation of counterparty exposure across group entities
Concentration events (single-counterparty or single-commodity) discovered post-facto
Settlement fails on physical delivery costing 20+ basis points per event
One risk view. Live. Auditable. Actionable.
Colony builds a risk engine that ingests positions from all trading systems, aggregates by book, counterparty, commodity and group, marks-to-market against live curves, and monitors exposure limits with real-time alerts. Counterparty models pull in credit signals — default swap spreads, credit ratings, group-level exposure — to give a live picture of who you're standing next to.
Components
Component · 01
Position aggregation
Cross-system ETL across OMS, TMS, CTRM, and custom trading systems.
Component · 02
Counterparty exposure engine
Group-level exposure rollup with automated entity mapping.
Component · 03
Live mark-to-market
Continuous MTM against forward curves across all traded commodities.
Component · 04
VaR and stress testing
Parametric and historical VaR; regulator-friendly stress scenarios.
Component · 05
Real-time limit monitoring
Configurable exposure limits with escalating alert channels.
What lives under the hood.
Position ETL
Connectors for Openlink, ION, Aspect CTRM, plus adapters for custom OMS.
Counterparty data
Bloomberg CDS, Moody's and S&P feeds, and KYC group-structure data.
Risk engine
Rust core with sub-second aggregation across 100k+ position books.
Alert delivery
Email, SMS, Teams/Slack, and phone-escalation with regulator-grade audit trail.
Reported weekly. Reconciled quarterly.
The morning risk pack is live at 06:00, assembled by the risk engine, ready for the head of trading. Counterparty concentration is visible at group level, not entity level. Exposure limit breaches trigger alerts in real time rather than at end-of-day. Avoided losses from a single settlement-risk event typically pay back the annual deployment cost.
Avoided Losses
£150k+ / year
VaR at Same Book Size
−35%
Risk-Pack Lag
−95%
Counterparty Rollup
Group-level
From diagnostic to measurable impact.
Phase · 01
Wk 0–2
Diagnostic, position-source audit, counterparty group mapping.
Phase · 02
Wk 2–5
Aggregation engine live, curve marks running, historical VaR backfilled.
Phase · 03
Wk 5–7
Counterparty engine live; exposure limits configured and alerts calibrated.
Phase · 04
Wk 7–8
Production cutover; risk pack automated, alert pipeline tuned.
Where else this travels well.
Every Colony playbook is engineered to be portable. The core intervention shape holds — components adapt to the client context.
Physical energy trading (gas, power)
Metals and mining trading books
Agricultural trading
Wholesale distribution with material credit exposure
Often deployed alongside this one.
Think this playbook fits your operation?
Three concise steps and a Colony operational specialist will respond within one working day with a bespoke margin-uplift projection scoped to your footprint.