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Curious how smaller and mid-size commodity trading firms or funds are handling risk in practice -- both in terms of systems and methods.
From what I’ve seen, access to fully featured risk platforms (VaR, Greeks, stress, XVA, pre-trade sims, etc.) can be limited by cost or complexity, so setups vary a lot.
Would love to hear what things look like on your desk:
**1. System structure, how is risk implemented?**
A. Fully integrated CTRM for booking and risk (e.g. Endur)
B. Booking system + separate risk layer (Excel, Python, etc.)
C. Pure Excel-based workflows (booking + risk)
D. In-house system stack
**2. Risk methods, what’s actually being used?**
VaR (historical/parametric) / Greeks / Stress testing / what-if scenarios / XVA / PnL explain
**3. And finally, what is the biggest pain point in your current setup?**
e.g. bad automation, reconciliation, lack of transparency, data quality, time to prepare reports, etc.
For context: I'm on the tech/fintech side, have worked with both a small fund and a larger one (tens of thousands of listed and OTC trades), plus investment banking experience. Mostly focused on infrastructure and tooling for VaR, Greeks, Dashboards etc.
Appreciate any input -- hoping to get a better read on what “normal” actually looks like across the industry.