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As a member of our cross-disciplinary team, you will leverage AI and analytics to innovate investment banking approaches. You will focus on Recommender Systems, Time Series Forecasting, and Classification Systems, utilizing the latest advances in Large Language Models (LLMs) and AI technologies. Your role will involve applying diverse analytical approaches to solve complex problems in capital markets and presenting compelling insights to stakeholders.
Job Responsibilities:
- Leverage AI and analytics to disrupt and innovate investment banking tools and strategies.
- Focus on Recommender Systems, Time Series Forecasting, and Classification Systems using LLMs and AI technologies.
- Apply traditional statistical models and advanced machine learning techniques to complex capital market problems.
- Develop creative methods to analyze and derive actionable insights from unique datasets.
Required Qualifications, Capabilities, and Skills:
- Master’s or PhD in Computer Science, Machine Learning, Statistics, or a related STEM field.
- Proven experience in developing and deploying production-grade machine learning systems.
- Proficient in Python and key data science libraries (e.g., Pandas, NumPy, TensorFlow, PyTorch, PySpark).
- Solid understanding of machine learning algorithms and software engineering principles.
Preferred Qualifications, Capabilities, and Skills:
- Familiarity with Large Language Models (LLMs) and natural language processing applications.
- Be part of a fast-growing, innovative environment with global reach and unmatched resources.
Apply now and help us build the AI future of investment banking.
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