Selby Jennings
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.
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.