Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Крутая вакансия
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Чётко описанная роль по валидации ИИ-моделей в крупной финансовой компании даёт опыт работы с машинным обучением, понятные задачи и возможности для развития.
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Актуальный стекПонятные задачиИИ в финансахРазвитие и обучение
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Risk - AI Model Validation - Associate (AI): Validating Goldman Sachs AI models and developing benchmark models for model risk management with an accent on accuracy, explainability, model design, algorithmic robustness, and regulatory compliance. Focus on testing model outputs, identifying risks and limitations, and collaborating with developers and business stakeholders to improve model performance.
Location: Birmingham, West Midlands, England, United Kingdom; office-based role
Company
hirify.global is a global investment banking, securities, and investment management firm founded in 1869, with offices around the world.
What you will do
Independently validate the performance, accuracy, and reliability of AI models used within the firm.
Assess model accuracy, explainability, design, and algorithmic robustness.
Develop and implement AI model validation methodologies and benchmark models.
Test and analyze model outputs, identifying and documenting risks and limitations.
Collaborate with AI researchers, model developers, and business stakeholders to address issues and improve model performance.
Requirements
Bachelor's, Master's, or Ph.D. degree in Computer Science, Mathematics, Physics, Engineering, or a closely related quantitative field.
Programming expertise in Python, including experience with relevant data science libraries such as NumPy, Pandas, TensorFlow, or PyTorch.
Understanding of statistical modeling and machine learning algorithms.
Excellent analytical, problem-solving, and communication skills.
Curiosity, ownership, and willingness to work in a collaborative environment.
Culture & Benefits
Work within the multidisciplinary Model Risk Management team in the Risk Division.
Exposure to a wide range of AI applications in a global financial institution.
Training and development opportunities and firmwide professional networks.
Benefits, wellness, personal finance offerings, and mindfulness programs.
Commitment to diversity, inclusion, and reasonable accommodations during recruitment.
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