Consulting

Commodity markets
are complex.
Your tools should be simple.

CDMS brings together deep commodity market expertise and full technical delivery — designing, building, and implementing the systems that trading, research, and risk teams actually rely on.

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Speaking the same
language as your team

A recurring problem in commodity technology projects is that the people who understand the business cannot build the systems, and the people who build the systems do not understand the business. Information breaks down across departments, requirements get lost in translation, and the final product misses the mark.

CDMS closes that gap. We can sit with a trader and talk positions, PnL or margin calls. We can sit with an IT team and talk database schemas, APIs, and infrastructure. That fluency — in both directions — is what makes projects deliver.

Direct access, no intermediaries

You work with the people doing the work. No account managers, no briefing chains, no requirements lost between departments. What you say is what gets built.

Built for trading speed

In commodity trading, decisions happen in real time. The systems we build reflect that — live positions, immediate data access, and workflows designed around how traders actually work, not how risk systems think they should.

Delivered end to end

From the first requirements conversation to go-live and beyond. CDMS works with a network of specialist partners when needed — but one team owns the outcome from start to finish.

Services

Engagements range from focused advisory work to multi-year implementation projects. Every mandate begins with understanding how your business actually operates — not with a standard template.

01

CTRM Design & Implementation

End-to-end design and build of commodity trading and risk management systems — from contract capture and position management to P&L, logistics, and reporting.

02

Data Architecture & Automation

Centralised data infrastructure, automated pipelines, and clean data structures that replace fragmented spreadsheets and manual processes across your organisation.

03

Research Tools & Reporting

Interactive dashboards and automated reporting for research and analytics teams — price data, SnD, trade flows, weather data and your proprietary datasets.

04

Risk Management Systems

Position reporting, Value at Risk, counterparty exposure (PFE, CVA), and the frameworks that give risk managers the tools they need to proactively manage risk exposures.

05

Business Process Optimisation

Mapping, rethinking, and rebuilding the operational workflows that sit between your trading activity and your data — reducing errors, duplication, and the operational incidents that cost real money.

06

Advisory & Strategic Guidance

For teams evaluating new systems or deciding on data and technology strategy. CDMS brings the commodity context that generic technology advisors cannot.

Projects

CTRM & Logistics
Major agricultural commodity trader
Full system design & implementation
Multi-year engagement
Trading & logistics departments

The trading desk needed a lightweight system to track contracts and positions in real time — fast enough to support live trading decisions, not the next-day reporting cycle that risk and finance systems typically provide. What started as a position management tool evolved, based on the depth of data captured, into the central logistics platform that the business now runs on.

  • Traders now have real-time position visibility — no waiting until end of day to know where they stand
  • Logistics adopted the platform as their primary operations tool, with a purpose-built visualization interface replacing their previous manual workflows
  • Significant reduction in operational incidents — the kind that are particularly costly in physical commodity trading
  • Data quality improved dramatically, replacing a patchwork of manual processes and spreadsheets
Data & Research Infrastructure
Research department, major commodity trading firm
Data architecture & automation
Ongoing engagement
Research & analytics team

A geographically dispersed research team was working with fragmented data — the same datasets duplicated across groups, no standard formats, and no reliable way to share work between offices in different time zones. Analysts spent significant time maintaining spreadsheets rather than doing research.

  • Centralised database with standardised formats across all datasets
  • Automated reporting replaces manual spreadsheet runs — the system generates and distributes reports on schedule
  • Research is now consistent and accessible across offices, regardless of time zone
  • Analysts redirected from data maintenance to actual analysis