Power, Gas, Oil & LNG Trading
Improve deal capture, scheduling, logistics, valuation, risk, settlement and controls across physical and financial energy.
Energy Trading & Commodities
Market, Pricing & Reference Data
Strengthen the curves and reference information supporting the trading book.
Overview
What this means for your business.
Energy and commodity trading depend on pricing inputs, curves, instrument definitions and delivery-point information that can be used consistently across functions.
Capmark helps clients improve sourcing, construction, validation, ownership and distribution of that information.
We connect market and reference-data capabilities with trading, valuation, risk and settlement systems, including new-product setup and less-liquid pricing requirements.
What we do
The expertise we bring.
Forward curves built from exchange settlements, broker marks and assessment prices, with a defined method for illiquid tenors, basis and location spreads. The marking process is documented, overrides are recorded, and the same curve reaches every consumer.
Sourcing agreements and feeds from exchanges, brokers and price reporting agencies, with validation that catches stale, missing and off-market prices before they reach valuation. Ownership of each curve and price series is assigned and exercised in the daily process.
Instruments, counterparties, delivery points, units and calendars set up once and governed at source. Changes follow a controlled path, and downstream systems consume the same record, so deals do not fail on setup differences between systems.
A defined path for new products and markets: instrument templates, curve and index setup, delivery-point and calendar data, and testing through valuation, risk and settlement before the first deal is captured. The setup work stops being a bottleneck for the desk.
Quality rules and monitoring on the data every function consumes, exception workflow with named owners, and distribution that delivers the trading, risk and settlement systems the same numbers at the same time. Month-end starts from agreed data.
What to expect
A team shaped around the work.
The first step is an inventory: which curves, price series and reference datasets exist, who owns each, and where the versions diverge. From there we fix the highest-cost divergences first — usually the curves behind valuation disputes and the reference data behind settlement breaks — and build ownership and controls as each dataset is repaired. Desk, risk and operations are in the room together throughout.
01
Assess
Establish the current state, the constraints, the risks and the value at stake.
02
Define
Shape the target model and the business case with the executives who own the outcome.
03
Mobilise
Stand up the team, the plan and the governance around the outcome.
04
Implement
Design, build and test the change, with the business alongside.
05
Sustain
Cutover, hypercare and handover, so the business runs it under its own control.
The same five stages on every engagement, led by senior practitioners end to end. How we work
Insights
Related perspectives.
Get in touch
Talk to a Partner about Market, Pricing & Reference Data.
Tell us what needs to change and where the pressure or risk is showing.