Transaction monitoring & fraud detection
Apprentices build challenger fraud models with explainability built in, increasing detection rates while reducing false-positive load on ops teams.
Train your operations, risk, product and compliance teams to build AI workflows for fraud detection, claims automation and reg-tech, inside a model-risk governance frame your CRO will sign off.
Five workflows financial services firms ship inside a TESS apprenticeship, every learner builds against synthetic data first and your own data second.
Apprentices build challenger fraud models with explainability built in, increasing detection rates while reducing false-positive load on ops teams.
NLP on FNOL data plus image classification on damage photos, typical results: 30–50% faster triage on volume claim types.
Train teams to build the validation infrastructure your CRO and PRA expect, apprentices ship reproducible model documentation.
Build pipelines that catch reporting breaks before they become reportable, moves your relationship with the FCA from reactive to proactive.
Apprentices build CLV models that drive retention spend and product cross-sell, measurable against real KPIs over the 18-month programme.
Three pathways for financial-services roles, all levy-eligible, built with explicit model-risk and SM&CR awareness.
For ops analysts, MI assistants and product analysts who need real SQL, Python and BI skills.
Flagship pathway for senior analysts, product owners and risk associates, ship a live AI build inside model governance.
For ops managers, product leads and risk team leads, AI governance, model risk, vendor selection.
Yes, module 3 of L4 covers SS1/23 and the equivalent FCA expectations explicitly. Apprentice projects ship with model documentation aligned to your firm's model-risk policy.
Absolutely, synthetic data is used for all training. Real-data projects only run within your existing IT/data security regime, supervised by a named project sponsor.
SM&CR responsibilities are usually held above apprentice level, we explicitly map the apprenticeship to roles that sit beneath SMF accountability.
L4 module 5 covers consumer-duty implications of AI decisioning, apprentices learn to evidence the 'good outcomes' test against their builds.
Yes, we'll structure the cohort so each entity's apprentices remain accountable to their own group risk function.
30-minute call with our FS-sector lead, we'll map roles to standards and align the programme to your model-risk policy.
Last updated: 24 May 2026