Specialista Senior / Project Manager

You will perform end-to-end validation of fraud detection ML models, covering data, features, models, deployment, and monitoring. You'll develop challenger approaches and scrutinize methodologies used by first-line teams. You will build agentic AI tools to automate validation workflows and surface risks. Your work directly supports governance, regulatory expectations, and responsible deployment in a fast-paced payments environment.

Validate end-to-end fraud ML models, including data integrity, features, deployment design, and monitoring

Develop challenger models and critique first-line methodologies and implementations

Build and deploy agentic AI tools to automate validation workflows and surface risks

Assess model performance using fraud-specific metrics and business impact trade-offs

Evaluate data representativeness, leakage risks, bias, and large-scale feature pipelines

Review model governance, explainability, privacy, and regulatory compliance

Assess CI/CD controls, deployment processes, and cloud environments

Develop and maintain validation frameworks and monitoring tools





Collaborate with data scientists, ML engineers, product, and business stakeholders

Document validation outcomes in line with governance standards and regulations

Stay updated on fraud typologies, ML/AI techniques, and regulatory developments

Advanced degree in a quantitative field (Master's or PhD)

3+ years of hands-on fraud modeling experience

Deep ML lifecycle expertise from design to production monitoring

Strong Python and SQL; PySpark/Spark

Experience with agentic AI workflows

Familiarity with cloud ML platforms (AWS SageMaker, Lambda, S3, Athena) and deployment

Knowledge of model validation, governance, and regulatory expectations

Experience assessing bias, fairness, and privacy risks

Strong communication and ability to explain risks to senior stakeholders

Ability to work independently while constructively challenging teams

You will perform end-to-end validation of fraud detection ML models, covering data, features, models, deployment, and monitoring. You'll dev...

📌 Senior Data Scientist - Fraud Model Validation (Milano)
🏢 Altro
📍 Milano