Master’s or PhD degree in a quantitative discipline like Science, Engineering, Mathematics, Statistics, Quantitative Finance, or Engineering., Data Scientist with relevant experience leading the building or validating AI products., Deep understanding of AI models, algorithms and the associated mathematics., Experience with Python, including the main libraries used for data science and AI (e.g. PyTorch, TensorFlow, scikit-learn)., Knowledge of the risks associated with developing, deploying and using AI in large commercial organizations., Knowledge of the regulatory landscape for AI and ability to access the impact of proposed changes in these regulatory rules to the bank., Knowledge of AI research, methodologies and techniques, particularly General Purpose AI, Deep Neural Networks, Agentic AI frameworks and statistical analysis (Variable Reduction, Feature engineering) with Supervised and Unsupervised machine learning algorithms., Expertise with data cleaning, feature engineering, and data normalization techniques., Active interest in the latest tools and ways of working linked to AI, with the ability to apply this knowledge in a flexible way adapting to varied circumstances across HSBC., Ability to promote a strong risk control culture and continually improve risk awareness., Ability to develop networks with key stakeholders., Providing advice and challenge, delivering risk management policies and managing risks and controls.

In-office gym, sharing the costs of sports activities, private medical care, sharing the costs of professional training & courses, life insurance, remote work opportunities, flexible working time, integration events, corporate sports team, retirement pension plan, corporate library, no dress code, coffee / tea, parking space for employees, leisure zone, extra social benefits, employee referral program, opportunity to obtain permits and licenses, charity initiatives, family picnics, extra leave