at J.P. Morgan
Bulge Bracket Investment BanksPosted 2 months ago
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Senior AI/ML role in HR Data and Analytics at a leading financial institution, focusing on applying quantitative methods, data science, and AI/ML to complex workforce challenges. You will partner with product managers, engineers, and domain experts across the end-to-end AI/ML lifecycle—from conception to production and monitoring—to design scalable, evidence-based solutions. You will perform AI model evaluations, monitor performance, and develop verification systems to ensure accuracy, safety, and reliability, while conducting research to advance AI capabilities. The role supports strategic initiatives and employee experience at scale on a world-class data science team, with opportunities for personal and professional growth.
- Compensation
- Not specified USD
- City
- New York City
- Country
- United States
Currency: $ (USD)
Full Job Description
Location: New York, NY, United States
Were building the AInative, datadriven future of HR at a leading global financial institution. With 300,000+ employees across 60+ countries, our AI team in HR Data and Analytics develops research and production solutions that help leaders make smarter, evidencebased decisionsshaping how our global workforce operates.
As a Vice President Applied AI/ML in HR Data and Analytics, you apply quantitative, data science, and analytical skills to complex workforce challenges. You partner with domain experts and crossfunctional teams to design, develop, and scale AI/ML solutions from foundational research through production deployment. Your work drives strategic initiatives that shape the firms business and the employee experience at scale, with opportunities for personal and professional growth on a worldclass data science team.
Job responsibilities
- Engage with stakeholders to identify and define business needs and opportunities, and design technical solutions to address them.
- Partner with product managers, engineers, and functional experts across the endtoend AI/ML lifecycleconception, validation, scaling, production delivery, and performance monitoring.
- Perform AI model evaluations and monitoring; develop structured verification systems to ensure accuracy, safety, and reliability.
- Conduct research that advances the technical foundations of AI and data science capabilities.
- Collaborate with teams across the firm to advance mission and vision.
Required qualifications, capabilities, and skills
- Advanced degree (masters or higher) in Computer Science, Data Science, Engineering, Applied Mathematics, Statistics, or a related quantitative discipline.
- 2+ years of experience developing and deploying AI/ML solutions with handson coding and endtoend solution design.
- Strong programming skills in Python; including experience with libraries such as TensorFlow, PyTorch, Keras, or scikitlearn.
- Demonstrated expertise in machine learning techniques (supervised, unsupervised, semisupervised), natural language processing (NLP), generative AI, or computer vision.
- Practical experience with Large Language Models (LLMs), including finetuning, prompt and context engineering, and RAG pipelines.
- Understanding of agentic AI systems and their design principles.
- Demonstrate strong analytical and problemsolving skills; thrive in crossfunctional, collaborative team environments.
Preferred qualifications, capabilities, and skills
- Hold a PhD in a relevant discipline.
- Experience in the financial services industry.
