TDA-labs is an independent risk advisory built on a simple premise: the institutions deploying the most consequential models — quantitative, machine-learning, and increasingly generative — need someone outside the build to validate, govern, and challenge them. That discipline is model risk management, and it is the same discipline on which credible AI governance is now being constructed.
Founded by Farid Bouakline (FRM, MSc Applied Mathematics, Sorbonne), TDA-labs draws on 19 years of institutional risk practice across Société Générale, Invesco, HSBC Asset Management, and Laser Digital (Nomura Group). That record spans independent validation of market, counterparty and ML/surveillance models; the build of a model risk framework for a VARA-regulated digital-asset platform from first principles; and the translation of complex exposure into decisions a board can act on.
The practice works across three connected fronts. Model and AI risk: independent validation and governance for quantitative, ML and GenAI models, grounded in established model-risk discipline (SR 11-7 and PRA SS1/23 lineage) and aligned to emerging AI regulation. Digital-asset risk: on-chain monitoring, collateral and credit assessment, and risk oversight for vaults, structured credit and tokenised products. Enterprise and operational risk: controls, governance frameworks and independent challenge for firms scaling into regulated, technically complex territory.
What ties them together is rigor applied where the map runs out — bringing institutional validation standards to the newest, least-charted domains rather than the well-trodden ones. Engagements are senior, substantive and independent by design: TDA-labs sits outside the first line, asks the questions a build cannot ask of itself, and delivers conclusions that withstand a regulator, an LP, or a risk committee.

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