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