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AVP/Lead AVP/Senior AVP, MRM AI CoE @

2 weeks ago

Kraków, Lesser Poland, Czech Republic HSBC Technology Poland Full time
What you need to have to succeed in this role
  • Master's or PhD degree in a quantitative discipline like Science, Engineering, Mathematics, Statistics,
    Quantitative Finance, or Engineering.
  • Data Scientist relevant experience in 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.

Some careers shine brighter than others.

If you're looking for a career that will help you stand out, join HSBC, and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further.

Your career opportunity

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 locations. 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.

What we offer

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

,[What you need to have to succeed in this role, Master's or PhD degree in a quantitative discipline like Science, Engineering, Mathematics, Statistics,Quantitative Finance, or Engineering., Data Scientist relevant experience in 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 commercialorganizations., Knowledge of the regulatory landscape for AI and ability to access the impact of proposed changes in theseregulatory rules to the bank., Knowledge of AI research, methodologies and techniques, particularly General Purpose AI, Deep NeuralNetworks, Agentic AI frameworks and statistical analysis (Variable Reduction, Feature engineering) withSupervised 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 ina 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.] Requirements: PhD, Degree, AI, Python, Data science, PyTorch, TensorFlow, Machine learning, risk management Additionally: Training budget, Private healthcare, Flat structure, International projects, Multisport card, Monthly remote work subsidy, Psychological support, Conferences, PPK option, Annual performance based bonus, Integration budget, International environment, Small teams, Employee referral bonus, Mentoring, Workstation reimbursement, Company share purchase plan, Childcare support programme, Bike parking, Playroom, Shower, Canteen, Free coffee, Free beverages, Free parking, In-house trainings, In-house hack days, No dress code, Modern office, Knowledge sharing, Garden, Massage chairs, Kitchen.