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Senior Specialist/Expert in GenAI and Machine Learning Model Validation

nr ref: 387/5/2024/AH
Konsultant prowadzący: Anna Hernik
Warszawa (mazowieckie)
28 maja 2024

W Antal zajmujemy się rekrutacją od ponad 20 lat. Dzięki działaniu w 10 wyspecjalizowanych dywizjach, świetnie orientujemy się w aktualnych trendach branżowych. Precyzyjnie określamy specyfikę stanowiska, klasyfikując kluczowe umiejętności i niezbędne kwalifikacje. Naszą misją jest nie tylko znalezienie kandydata, którego kompetencje wpisują się w wymagania danego ogłoszenia, ale przede wszystkim stanowiska, spełniającego oczekiwania kandydata. Numer rejestru agencji zatrudnienia: 496.

Main responsibilities:

  • Perform an in-depth technical review of models, evaluating aspects such as conceptual soundness, appropriateness of model methodologies, data quality, and model implementation;
  • Conduct independent validation and testing of a range of GenAI and other models across various global business lines and locations to identify vulnerabilities and potential business risks;
  • Ensure model compliance with regulations, internal policies, and industry best practices;
  • Collaborate closely with cross-functional teams, including model developers, risk managers, and stakeholders, to address findings related to the models and promote best practices;
  • Stay updated on industry trends and regulatory guidelines, particularly those related to generative AI and advanced analytical models, to contribute to the continuous improvement of validation methodologies, standards and automation.


  • Completed higher education in econometrics/quantitative finance/quantitative methods/mathematics/statistics/physics;
  • In-depth knowledge of deep learning generative AI techniques, particularly Large Language Models and their widespread applications.
  • Strong expertise in traditional machine learning methods, including supervised and unsupervised learning, classification, regression, clustering, and text mining.
  • Min. 4 years of professional experience in validation or development of machine learning models in a financial institution or related industry;
  • Analytical skills with the ability to critically assess complex models, effectively articulate and document model risk findings;
  • Experience writing code in Python/ R/ SAS or other statistical programming language;
  • Fluent English (min. C1).


  • Ability to work in the hybrid model;
  • Stable employment;
  • Flexible working hours;
  • Daily work using English in an international environment;
  • Participation in interesting, strategic projects;
  • Opportunity to obtain additional professional training;
  • An attractive package of benefits (medical care, insurance, use of the corporate gym, relaxation zone).