GenAI and Machine Learning Model Validator in Antal Sp.z.o.o.

Offer:

• 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).

• 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. 5 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).

Offer:

• 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).
,[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.] Вимоги: Deep learning, AI, Machine learning, Python, SAS, R Бонуси та переваги: Sport subscription, Private healthcare.