Analyst, Model Risk Management

23 hours ago


Kraków, Czech Republic HSBC Technology Poland Full time

What you need to have to succeed in this role Academic degree (BSc, MSc or PhD) in a quantitative discipline like Mathematics, Statistics, Econometrics, Quantitative Finance, Economics or Engineering. Basic knowledge of Wholesale Credit Risk models, including IFRS9, CECL and Stress Testing models. Intermediate knowledge of statistics and econometrics. Knowledge of Regulatory Guidance on Wholesale Credit Risk would be an advantage Experience with some statistical modelling software / programming language e.g. SAS, Python, R, Matlab, C++, VBA. Experience in conducting independent model reviews would be beneficial. Very good written and verbal communication in English.  Ability to present complex statistical concepts and results to non-technical audiences in a clear manner. 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. ABOUT THE PROJECT Model Risk Management (MRM) at HSBC is structured as a global function, headed up by the Chief Model Risk Officer (CMRO). The MRM function reports directly to the Group Chief Risk and Compliance Officer (GCRCO) ensuring its independence from the model developing and owning areas of the firm.  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. Independent Model Validation is a specialist quantitative role within the Model Risk Management team responsible for carrying out independent validations of HSBC’s model landscape, in order to identify and communicate model limitations and issues.  Independent Model Validation provides independent challenge of a model’s underlying theoretical assumptions and limitations, its practical implementation, its live application and business usage, providing stakeholders (including model users, senior management, audit and regulators) with assurance that models and tools developed, maintained and used within HSBC Group are fit for their intended purposes and are compliant with applicable internal and supervisory expectations. They will also review remediation plans and activities, undertake portfolio level reviews across model types and challenge the model owners on the appropriate application of relevant policy of models.  Model types include but are not limited to Credit Risk models (Retail and Wholesale), IFRS9 models, Stress Testing and Scenario Analysis models, Economic Capital models, Financial Vulnerability models, Pricing models, Traded Risk models, Insurance Risk models and models covering non-financial areas e.g., transaction monitoring, customer selection and human resources. This includes the traditional model types as well as modern approaches such as machine learning (ML) and artificial intelligence (AI) techniques. 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 ,[Undertake model validation activities as dictated by the Global Model Risk Policy including the assessment of; model inputs, calculations, reporting outputs, conceptual soundness of the underlying theory and the suitability of the use for its intended purpose, relevance and completeness of data, qualitative information and judgements, documentation, and implementation of the model. , Provide written reports detailing the results of validations highlighting issues identified during the validation. , Validate remediation activities completed by the ILOD to ensure appropriate resolution of identified issues., Work with relevant stakeholders to embed new Global Model Risk Policies and Procedures., Provide model users, model owners, senior management, audit, and regulators (across 1LOD, 2LOD, 3LOD) with confidence that the models and tools developed, maintained, and used within the Group are compliant with internal and regulatory expectations and fit for the intended purpose., Participate at Governance Forums as required., Deliver, high quality, timely validation reports that add value to the business. , Liaise with 1LOD and other model stakeholders as appropriate to ensure issues have been adequately resolved.] Requirements: SAS, R, Python, MATLAB, C++, VBA 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.



  • Kraków, Czech Republic HSBC Technology Poland Full time

    What you need to have to succeed in this role Academic degree (BSc, MSc or PhD) in a quantitative discipline like Mathematics, Statistics, Econometrics, Quantitative Finance, Economics or Engineering. Basic knowledge of Treasury Risk models, including Interest Rate Risk in the Banking Book (IRRBB), Liquidity and Prepayment Risk models. Intermediate knowledge...


  • Kraków, 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.  An understanding of AI models, algorithms and the associated mathematics.  Experience...


  • Kraków, Warszawa, Czech Republic Antal Full time

    3–5 years of experience in financial services, technology risk, model governance, or regulatory compliance. Bachelor's degree in a STEM-related field preferred (science, technology, engineering, mathematics). Equivalent experience or relevant certifications will also be considered. Understanding of AI/ML risk, cybersecurity frameworks, and data governance...


  • Kraków, Czech Republic HSBC Technology Poland Full time

    What you need to have to succeed in this role Significant experience in developing or reviewing Wholesale IRB models. Extensive knowledge of the Wholesale IRB modelling approach and applicable regulations from ECB or PRA or HKMA. Comprehensive knowledge of statistical model and scorecard development techniques. Detailed knowledge of Risk models, performance...


  • Kraków, Czech Republic HSBC Technology Poland Full time

    EXPERIENCE: 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...


  • Kraków, 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 Financial Mathematics, Statistics, Econometrics, Quantitative Finance, Economics, Engineering or Physics supported by general knowledge of the financial markets. Comprehensive knowledge of Stochastic Calculus, Probability Theory, Statistics and Financial...


  • Kraków, Czech Republic HSBC Technology Poland Full time

    What you need to have to succeed in this role 4+ years of experience in model Development/Validation across diverse data science applications, including classification and regression models in credit risk, marketing, fraud detection. Knowledge of statistical models and machine learning techniques. Experience in assessing model performance. Good understanding...


  • Kraków, Czech Republic Antal Full time

    University degree in Mathematics, Engineering, Science, Finance, Business Management, or related field; or equivalent experience in risk management. Professional certifications such as FRM, PRM, or CFA (preferred). Strong knowledge of statistics and quantitative analysis. Proficiency in Python and Excel VBA (essential); knowledge of C++ is an advantage....


  • Kraków, Czech Republic Antal Full time

    Experience in data modeling for both transactional and analytical systems. Strong understanding of metadata, data analysis, and requirement gathering. Ability to clearly communicate complex data modeling concepts to technical and non-technical audiences. Leadership experience, including mentoring and guiding teams. Strong stakeholder management and...


  • Kraków, Czech Republic Antal Full time

    Graduate degree with 10 years of overall experience, including over 4 years in Product Control, Risk, or Valuations. Demonstrable expertise in product control, accounting, valuations, controls, systems, models, and markets (at least one asset class; multiple is an advantage). Strong understanding of regulatory requirements and valuation guidelines....