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Professional Certificate in Regulating Machine Learning in Banking
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2个月完成
每周2-3小时
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课程详情
- Foundations of Machine Learning in Finance
- Regulatory Landscape of AI and Machine Learning in Banking
- Model Risk Management for Machine Learning Systems
- Explainable AI (XAI) and its Regulatory Implications
- Fair Lending and Algorithmic Bias Mitigation
- Data Privacy and Security in Machine Learning Applications
- Implementing Robust Monitoring and Auditing Procedures
- Regulating Machine Learning: Case Studies and Best Practices
职业道路
Role Description Machine Learning Engineer (Banking) Develops and implements machine learning algorithms for credit scoring, fraud detection, and risk management in the UK banking sector.
Requires expertise in Python, TensorFlow, and regulatory compliance.
AI Regulatory Compliance Officer Ensures adherence to UK and EU regulations concerning AI and machine learning in banking, including data privacy (GDPR) and model explainability.
A strong understanding of financial regulations is crucial.
Data Scientist (Financial Regulation) Analyzes large datasets to identify trends and risks, contributing to the development of regulatory frameworks for machine learning in UK banking.
Requires advanced statistical modeling skills and knowledge of regulatory technology (RegTech).
ML Model Auditor Independently assesses the fairness, accuracy, and robustness of machine learning models used in banking, ensuring compliance with relevant regulations.
Experience in model validation and auditing is essential.
入学要求
- 对主题的基本理解
- 英语语言能力
- 计算机和互联网访问
- 基本计算机技能
- 完成课程的奉献精神
无需事先的正式资格。课程设计注重可访问性。
课程状态
本课程为职业发展提供实用的知识和技能。它是：
- 未经认可机构认证
- 未经授权机构监管
- 对正式资格的补充
成功完成课程后，您将获得结业证书。
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