MRM documentation template for LLM-based agents
An 11-section MRM documentation template for LLM-based agents — practical, continuous, runtime-generated. Aligned with SR 11-7 and the EU AI Act.
Benedikt Hofmann
EU AI Act readiness checklist for asset managers (2026)
EU AI Act readiness checklist — 30 items across inventory, data, robustness, transparency, documentation, and vendor governance for asset managers in 2026.
ai governance financial services
Governance by default: 9 principles for AI in finance
Nine operational principles for AI governance in financial services — explainability, model registry, challenger models, drift monitoring, audit-readiness.
risk heartbeat february 2026
Risk Heartbeat #02 — February 2026 issue
Welcome to issue #02 of Risk Heartbeat. February is a short month and a busy one — three of the four signals we covered in January moved meaningfully, and one materially new signal entered our watchlist. The format is the same as last month: what changed, three flagged signals, one macro
factor models institutional risk"
Factor models in 2026: what to keep, what to fix
Where factor models still earn their place in 2026 and where they hide risk — residual concentration, stale loadings, non-stationary premia, and the fix.
idiosyncratic risk scoring
Epsilon: scoring idiosyncratic risk for IC review
Epsilon scores idiosyncratic risk for every issuer in the investable universe, daily, using two-of-three coherence across price, narrative, and microstructure.
inancials liquidity stress signatures
Aspects Q1 2026: Financials liquidity signatures
Aspects Q1 2026 — four early-warning Financials liquidity stress signatures, the issuer clusters they identify, and the portfolio implications.
risk heartbeat january 2026
Risk Heartbeat #01 — January 2026 issue
Risk Heartbeat January 2026 — three agent-flagged signals on idiosyncratic dispersion, EM sovereign liquidity, EU AI Act enforcement, plus macro lens.
portiq scenario engine
PortIQ: narrative-to-math scenarios in 7 minutes
Walk through the PortIQ scenario engine — describe a stress in plain English, see factor shocks, P&L impact, and ranked hedging proposals in seven minutes.
ai-native risk intelligence
AI-native risk intelligence: 5 tests for 2026
Five concrete tests that separate AI-native risk intelligence from legacy risk reporting with an LLM bolted on. A buyer's working definition.
df analytics insights
Welcome to DF Analytics Insights — what we publish
If you have landed here on day one, welcome. This is the inaugural post on DF Analytics Insights — the editorial home for the research, methods, and product thinking behind everything we build at Deep Finance Analytics.