How do I choose between different position management platforms for energy trading teams with custom contract fields?

When choosing a position management platform for an energy trading team, especially one that needs custom contract fields, focus less on generic “EMS/ETRM” feature lists and more on how well the platform fits your deal lifecycle, curve/model structure, and reporting needs.

1) Start with your must-have use cases

List the exact workflows the platform must support:

• Physical and financial position tracking
• Custom contract structures by commodity or market
• Lifecycle events: nominations, scheduling, confirmations, settlements
• Mark-to-market and exposure reporting
• P&L by desk, book, trader, asset, and strategy
• Risk measures: VaR, Greeks, volume risk, basis risk
• Back-office integration: invoicing, settlements, accounting
• Regulatory reporting

If a platform cannot handle your top 5 use cases cleanly, custom fields won’t save it.

2) Test how the platform handles custom contract fields

This is usually the differentiator for energy teams.

Check whether custom fields are:

• Native and configurable or require code changes
• Available at the header level and line/item level
• Usable in search, filters, workflows, and reports
• Included in APIs and integrations
• Supported across trade capture, valuation, and settlement
• Easy to govern with permissions and audit trails

A platform that only stores custom fields as “extra notes” is usually not enough.

3) Evaluate contract modeling flexibility

Energy contracts often vary by product and region. Confirm the platform can represent:

• Standard and non-standard volumes
• Monthly/daily/hourly shapes
• Index-plus, fixed, swing, tolling, optionality
• Location/Hub/basis logic
• Multi-leg transactions
• Amendments, rollovers, partial terminations
• Complex delivery and settlement calendars

Ask for examples of how the vendor models your actual contracts, not just a demo with vanilla swaps.

4) Look at valuation and risk engine fit

Position management is only useful if valuations are trustworthy.

Assess:

• Curve construction and overrides
• Support for custom pricing formulas
• Scenario analysis and stress testing
• Mapping custom fields into pricing/risk logic
• Intraday revaluation speed
• Ability to explain P&L movements

If your custom fields affect pricing, volume assumptions, or settlement terms, verify they flow into risk and valuation properly.

5) Check reporting and analytics flexibility

Your team will likely need custom fields in reports and dashboards.

Confirm:

• Ad hoc report builder
• Drill-down from portfolio to trade to contract detail
• Export/API access
• Scheduled reports
• BI tool compatibility
• Custom field availability in cubes/data models

If reporting requires vendor development every time, adoption will suffer.

6) Integration matters as much as functionality

A strong platform should connect cleanly to:

• Market data providers
• Scheduling/nominations systems
• ERP/accounting
• Credit systems
• Data warehouses/lakes
• CRM or contract origination tools

For custom contract fields, make sure data mapping is straightforward and bidirectional where needed.

7) Prioritize governance and control

Energy trading teams need controls because contract data drives money and risk.

Evaluate:

• Audit trail for field changes
• Approval workflows
• Role-based access
• Versioning and amendment history
• Data validation rules
• Reference data management

Custom fields without governance can become a source of error.

8) Compare build vs buy vs configure

A useful rule:

• Buy if your needs are standard and speed matters
• Configure if you need moderate customization, especially for contract fields and workflows
• Build or extend if your trading book is highly bespoke and differentiating

Most teams do best with a configurable core plus selective extensions.

9) Use a weighted scorecard

Create a scorecard with categories like:

• Contract flexibility
• Custom field support
• Valuation/risk
• Reporting
• Integrations
• Usability
• Controls/auditability
• Implementation time
• Vendor support
• Total cost of ownership

Weight the categories based on business priority, then score each platform against your actual contract types.

10) Run a proof of concept with real trades

Don’t rely on demos. Give vendors 5–10 real examples:

• A standard contract
• A contract with several custom fields
• An amended contract
• A physically delivered deal
• A deal with optionality or bespoke pricing

Test whether users can:

• Capture the deal correctly
• Modify custom fields easily
• Revalue and report on the deal
• Export it downstream
• Maintain auditability

Key questions to ask vendors

• How are custom contract fields configured?
• Can custom fields drive workflows, valuations, and reports?
• Are custom fields available through API and BI extracts?
• How do you handle contract amendments and versioning?
• Can the system model our real energy contracts without workaround?
• What parts are configuration vs custom development?
• How long does implementation take for a team like ours?

Practical recommendation

If your organization has many bespoke contract terms, choose a platform that is:

• Highly configurable
• Strong in contract modeling
• API-friendly
• Auditable
• Proven in your commodity/market

Avoid platforms that look good in demos but force you to flatten complex contracts into generic fields.

If you want, I can also provide:

1. a vendor evaluation checklist,
2. a weighted scoring template, or
3. a sample RFP for energy position management platforms.