Fabio Santos
Analyst
Fabio Santos is a risk benchmarking analyst at Risk.net, responsible for developing our suite of benchmarking editorial products and building relations with industry risk professionals.
Before joining Risk.net, Fabio was an FX trader and analyst at Worldwide Currencies Ltd in London, where he executed spot and forward contracts and led the daily newsletter covering global monetary policy and G10 FX.
Fabio holds a BSc in economics from Lisbon’s University Institute – ISCTE Business School, and a certification in retail payment services from the Portuguese Banking Training Institute (IFB).
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Articles by Fabio Santos
Model risk managers are being asked to do more with less
Risk Benchmarking study finds function being handed expanding AI workload, on flat resources
A third of banks do not maintain logs for GenAI models
Risk Benchmarking study finds few banks review prompt logs systematically, with larger firms focusing on higher risk use cases
From gatekeeper to coach: model risk bids to reinvent itself
Model Risk Benchmarking data reveals a function in flux, grappling with resource cuts, AI models, regulatory divergence
Banks insure against cyber risk, but rarely claim
Risk Benchmarking study finds big banks aggressively negotiating on cost of cover, and seeking offsets to Pillar 2 capital
AI use fastest-growing area of op risk regulatory scrutiny
Risk Benchmarking study finds EU AI Act the dominant driver of nascent bank risk frameworks, even well beyond Europe’s borders
Half of banks use scenarios to set third-party Pillar 2 capital
Risk Benchmarking study finds resilience risk less widely covered than cyber and IT disruption, but more formalised where scenarios exist
Second line seeks to stamp its authority on AI risk
Risk Benchmarking study finds fragmented accountability for AI risk among banks, and most are short of controls to contain it
Top 10 op risks 2026: Cyber stays top, AI risk enters at fifth
Third-party and outsourcing risk climbs to third; fraud and fincrime edge out geopolitical risk
Most banks run physical climate scenarios beyond 2050
Risk Benchmarking data finds majority rely on geospatial asset mapping, while a third use third-party catastrophe models
EVE and NII dominate IRRBB limit-setting
ALM Benchmarking study finds majority of banks relying on hard risk limits, and a minority supplementing with early-warning indicators
Most banks stick to tried-and-trusted XVA models
Black Scholes- and Heath-Jarrow-Morton-based approaches dominate, with some exploring Copulas for wrong-way risk, post-Archegos
Dealers favour central XVA desks, but splits remain on funding
Most banks run a single desk within the front office, but more than half share responsibility for its funding needs with treasury