VP - ML Data Scientist
VP - ML Data Scientist | Front Office | Tier-1 Investment Bank
A top-tier global investment bank is seeking a highly skilled and innovative Machine Learning Data Scientist at the VP level to join its front office team. This is a high-impact role where you'll collaborate with data scientists, engineers, and software developers to build and deploy cutting-edge AI tools that directly influence trading and investment decisions.
What You'll Do:
- Apply advanced AI and ML techniques to develop novel analytics and decision-making tools for capital markets.
- Leverage the latest research in Large Language Models (LLMs) and generative AI to solve complex, real-world financial problems.
- Extract actionable insights from large, diverse datasets using a combination of statistical analysis and machine learning.
- Design and implement scalable, production-grade ML systems that are robust, efficient, and aligned with business goals.
- Communicate technical findings through compelling storytelling, visualizations, and presentations tailored to both technical and non-technical stakeholders.
What We're Looking For:
- PhD in Computer Science, Machine Learning, Physics, or a related STEM discipline.
- 6+ years of experience building and deploying ML/AI systems in production, ideally within financial services or a similarly complex domain.
- Strong programming skills in Python and familiarity with key libraries (e.g., Pandas, NumPy, TensorFlow, PyTorch, PySpark).
- Solid understanding of software engineering best practices, including modular code design, version control, testing, and documentation.
- Excellent communication and collaboration skills, with a proven ability to work across multidisciplinary teams in a fast-paced environment.
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