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Assistant Vice President, Model Risk Management
2 weeks ago
- Master's or PhD degree in a quantitativediscipline like Science, Engineering,Mathematics, Statistics, Quantitative Finance,or Engineering.
- Data Scientist relevant experience in buildingor 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.
Model Risk Management (MRM) at HSBC is structured as a global function, headed up by the Chief Model Risk Officer (CMRO). MRM are the second line of defence (2LoD) for Model Risk and the CMRO is the global Model Risk Steward for the group and is also accountable for the global operation of the MRM function. MRM teams are based in each region, to ensure local subject matter expertise and to guide, review, and challenge. MRM activity is managed on a global basis as many models are used in multiple
l ocations. This enables MRM to operate consistently and efficiently globally, and to take account of additional local regulatory requirements.
The MRM AI COE is a team within IMR comprising AI specialists which provides leadership, standards, coordination, and subject matter expertise for all AI activities across MRM, including validation, to ensure MRM's treatment of AI throughout the model lifecycle is effective, efficient, consistent and current. They work with the Infrastructure Team to advance the adoption of AI tools and techniques throughout MRM's internal processes.
- Competitive salary
- Annual performance-based bonus
- Additional bonuses for recognition awards
- Multisport card
- Private medical care
- Life insurance
- One-time reimbursement of home office set-up(up to 800 PLN).
- Corporate parties & events
- CSR initiatives
- Nursery discounts
- Financial support with trainings and education
- Social fund
- Flexible working hours
- Free parking