Senior Quantitative Analytics Specialist

Job description

**Advanced Model Validation (Primary Focus)** - **Technical Auditing:** Perform end-to-end validation of high-complexity AI/ML models, including Deep Learning architectures (CNNs, RNNs, Transformers). - **Conceptual Soundness:** Evaluate the mathematical and logical foundations of fraud models to ensure they are fit for purpose and resilient to adversarial attacks. - **Performance Testing:** Conduct rigorous back-testing, sensitivity analysis, and stress testing of models to identify potential biases or failure points in high-risk fraud scenarios. - **Risk Assessment:** Quantify **Fraud Risk** and model limitations, providing clear "Go/No-Go" recommendations to senior leadership and regulatory bodies. **2. Multi-Modal Fraud Expertise** - **Voice Fraud:** Validate models designed to detect synthetic voice, voice cloning, and social engineering in audio streams. - **Image Fraud:** Challenge computer vision models used for document verification, facial recognition, and the detection of digital image manipulation (Deepfakes). - **Pattern Recognition:** Evaluate ML models that identify behavioral fraud patterns and anomalies in transactional data. **3. Development & Lifecycle Support** - **Collaboration:** Partner with **Model Development** teams during the design phase to ensure "Validation-ready" architecture. - **MLOps Integration:** Monitor model performance in production, ensuring that model decay or data drift is detected and mitigated via automated feedback loops. - **Compliance:** Ensure all models adhere to internal model risk management (MRM) policies and external regulatory requirements.