Senior Applied AI Modeling Lead for Financial Solutions
J.P. Morgan
New York (NY)
On-site
USD 150,000 - 210,000
Full time
14 days+
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Benefits offered by this job
Comprehensive health care coverage
Retirement savings plan
Tuition reimbursement
Mental health support
Financial coaching
Job summary
A leading financial services firm in New York seeks an Applied AI Modeling Lead to develop high-impact AI and machine learning models for diverse financial needs. This role demands over 7 years in the Credit Card sector, mastery in Python, and experience with frameworks like TensorFlow and PyTorch. You will guide end-to-end model projects, ensuring alignment with business objectives and regulatory standards. Mentorship responsibilities for junior staff are included. A competitive compensation package and benefits await successful candidates.
Qualifications
7+ years of relevant experience in the Credit Card industry developing statistical models.
5+ years of experience with AI, including reinforcement learning.
Proficient in Python with experience in ML and Deep learning frameworks.
Responsibilities
Develop and launch machine learning and AI models aligned with business goals.
Lead end-to-end modeling engagements and ensure compliance with performance metrics.
Coach and mentor junior team members for skill development.
Skills
Machine learning
Statistical modeling
Python programming
Data analysis
Education
M.S. degree in a quantitative discipline
Tools
TensorFlow
PyTorch
Jupyter Notebook/Lab
Job description
A leading financial services firm in New York seeks an Applied AI Modeling Lead to develop high-impact AI and machine learning models for diverse financial needs. This role demands over 7 years in the Credit Card sector, mastery in Python, and experience with frameworks like TensorFlow and PyTorch. You will guide end-to-end model projects, ensuring alignment with business objectives and regulatory standards. Mentorship responsibilities for junior staff are included. A competitive compensation package and benefits await successful candidates.