Jobs via eFinancialCareers
VP - AI/ML Data Scientist - Selby Jennings
Jobs via eFinancialCareers, New York, New York, us, 10261
VP - AI/ML Data Scientist - Selby Jennings
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VP - AI/ML Data Scientist - Selby Jennings
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Jobs via eFinancialCareers VP - AI/ML Data Scientist - Selby Jennings
17 hours ago Be among the first 25 applicants Join to apply for the
VP - AI/ML Data Scientist - Selby Jennings
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Jobs via eFinancialCareers Get AI-powered advice on this job and more exclusive features. About The Role
A tier-1 global investment bank is seeking a highly skilled and AI/ML Data Scientist to join their innovative front office team. You will work collaboratively with data scientists, engineers, and software engineers to leverage cutting edge AI and analytics tools. AI/ML Data Scientist
About The Role
A tier-1 global investment bank is seeking a highly skilled and AI/ML Data Scientist to join their innovative front office team. You will work collaboratively with data scientists, engineers, and software engineers to leverage cutting edge AI and analytics tools.
Key Responsibilities
Leverage advanced AI and Machine Learning research methods to develop new tools and analytics for the business. Utilize the latest advancements in AI and Large Language Model (LLM) research to solve complex capital markets challenges. Apply a range of analytical techniques-from traditional statistical methods to state-of-the-art machine learning-to extract insights from diverse and complex datasets. Develop scalable, production-grade ML systems and ensure robust deployment in real-world financial applications. Communicate findings effectively through compelling storytelling, visualizations, and presentations tailored to both technical and non-technical stakeholders.
Required Qualifications
PhD in Computer Science, Machine Learning, Physics, or a related STEM field. 6+ years of hands-on experience in developing and deploying machine learning or AI systems in production environments in financial services. Proficiency in Python and essential libraries (e.g., Pandas, NumPy, TensorFlow, PyTorch, PySpark). Solid foundation in software engineering best practices, including modular code design, version control, and documentation. Excellent communication and collaboration skills, with the ability to work across multidisciplinary teams. Seniority level
Seniority level
Mid-Senior level Employment type
Employment type
Full-time Job function
Job function
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Join to apply for the
VP - AI/ML Data Scientist - Selby Jennings
role at
Jobs via eFinancialCareers VP - AI/ML Data Scientist - Selby Jennings
17 hours ago Be among the first 25 applicants Join to apply for the
VP - AI/ML Data Scientist - Selby Jennings
role at
Jobs via eFinancialCareers Get AI-powered advice on this job and more exclusive features. About The Role
A tier-1 global investment bank is seeking a highly skilled and AI/ML Data Scientist to join their innovative front office team. You will work collaboratively with data scientists, engineers, and software engineers to leverage cutting edge AI and analytics tools. AI/ML Data Scientist
About The Role
A tier-1 global investment bank is seeking a highly skilled and AI/ML Data Scientist to join their innovative front office team. You will work collaboratively with data scientists, engineers, and software engineers to leverage cutting edge AI and analytics tools.
Key Responsibilities
Leverage advanced AI and Machine Learning research methods to develop new tools and analytics for the business. Utilize the latest advancements in AI and Large Language Model (LLM) research to solve complex capital markets challenges. Apply a range of analytical techniques-from traditional statistical methods to state-of-the-art machine learning-to extract insights from diverse and complex datasets. Develop scalable, production-grade ML systems and ensure robust deployment in real-world financial applications. Communicate findings effectively through compelling storytelling, visualizations, and presentations tailored to both technical and non-technical stakeholders.
Required Qualifications
PhD in Computer Science, Machine Learning, Physics, or a related STEM field. 6+ years of hands-on experience in developing and deploying machine learning or AI systems in production environments in financial services. Proficiency in Python and essential libraries (e.g., Pandas, NumPy, TensorFlow, PyTorch, PySpark). Solid foundation in software engineering best practices, including modular code design, version control, and documentation. Excellent communication and collaboration skills, with the ability to work across multidisciplinary teams. Seniority level
Seniority level
Mid-Senior level Employment type
Employment type
Full-time Job function
Job function
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