Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чётко очерченная роль по проверке AI-моделей в крупном финансовом институте даёт опыт в управлении модельными рисками и регулировании, но работа только из офиса и узкая специализация могут ограничить гибкость и выбор дальнейших карьерных направлений.
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Только офисСовременный стекAI в финансах
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
AI Model Risk Associate (AI/ML): Validating Goldman Sachs’ AI models for accuracy, reliability, explainability, and regulatory compliance with an accent on model design, algorithmic robustness, and independent risk assessment. Focus on developing validation methodologies, building benchmark models, testing model outputs, and addressing limitations with model developers and business stakeholders.
Location: Dallas, TX, United States; onsite at the Dallas office.
Company
hirify.global is a global financial institution whose Model Risk Management group independently oversees risks arising from models used across valuation, risk management, liquidity, and capital activities.
What you will do
Independently validate the performance, accuracy, reliability, explainability, design, and algorithmic robustness of AI models.
Develop validation methodologies and benchmark models tailored to AI model characteristics.
Test and analyze model outputs, documenting risks and limitations.
Collaborate with AI researchers, model developers, and business stakeholders to address issues and improve model performance.
Contribute to the firm’s model risk management and regulatory compliance framework.
Requirements
2–5 years of experience in AI/ML model validation or research, including modern AI techniques, machine learning research, quantitative research, or related fields.
Bachelor’s, Master’s, or Ph.D. degree in Computer Science, Mathematics, Physics, Engineering, or a closely related quantitative field.
Programming expertise in Python 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.
Demonstrated curiosity, ownership, and willingness to work collaboratively.
Culture & Benefits
Work as part of the Model Risk Management team in the Risk Division.
Collaborate with AI researchers, model developers, business stakeholders, executive management, and technology teams.
Gain exposure to a wide range of AI applications within a financial institution.
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