Data Scientist

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Beschreibung

Key Responsibilities Methodology and Threshold Review: Review and recalibrate existing model methodologies and thresholds, including back-testing, impact assessments, analytical specifications, validation approaches, gap analyses and documentation. Risk Model Enhancement: Translate business and operational requirements into enhancements to risk scenarios, indicators, features, thresholds and analytical logic. Technical Dashboard Development: Build and enhance dashboards to monitor model performance, including precision, recall, data drift and concept drift. Develop alerting logic, visualisations and performance measures that account for delayed or incomplete outcomes. Risk Assessment and Analytical Evaluation: Assess business processes, operational workflows and potential risks. Identify relevant patterns and recommend improvements to existing analytical models and detection frameworks. Governance and Stakeholder Engagement: Maintain methodology documentation and change records. Communicate analytical findings, trade-offs, dependencies and recommendations to business stakeholders, technical teams and management. Documentation and Knowledge Transfer: Develop reproducible analytical code, maintain technical documentation and provide knowledge transfer to support ongoing model enhancements and operations. Requirements & Qualifications Education: Degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics or a related quantitative discipline. Experie

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