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Chase · 1 month ago

Business Modeling - Applied AI Modeling Lead

450 W 33rd St, New York, NY, 10001, US

Full-time

Onsite

Senior Level

$164K/yr - $260K/yr

7+ years exp

Chase is a leading financial services firm, and they are seeking an Applied AI Modeling Lead to collaborate across the organization to create quantitative models for various financial needs. The role involves developing AI models, leading data science engagements, and mentoring junior team members.

BankingFinancial Services

Responsibilities

Develop and launch machine learning and AI models tailored to business goals, balancing performance metrics while keeping speed to market and complexity consideration in mind

Lead modeling or data science engagements end-to-end, including interfacing with business, governance, and technology stakeholders, articulating clear business use cases, creating and delivering on project plans, conducting exploratory data analysis to formulate testable business hypotheses, model development and deployment, and performance monitoring

Be a subject matter expert and trusted advisor to business partners, helping them understand the strengths and limitations of our models

Partner with Governance teams to ensure comprehensive model documentation, track performance metrics, and maintain adherence to regulatory compliance standards

Coach and mentor junior team members, supporting their development in technical, business, and communication skills

Qualification

Machine LearningArtificial IntelligencePythonStatistical ModelingDeep LearningCredit Cards Industry ExperienceCoachingAnalytical SkillsCommunication SkillsMentoring

Required

M.S. degree in a quantitative discipline (e.g., Computer Science, Data Science, Mathematics/Statistics, or Operations Research)

7+ years of hands-on, relevant Credit Cards industry experience in developing statistical, econometric, or machine learning (ML) models; 5+ years of hands-on experience with Artificial Intelligence (AI) such as reinforcement learning or optimization algorithms

Proficient in Python with hands-on experience in Machine learning and Deep learning frameworks (TensorFlow, PyTorch) and libraries (e.g., NumPy, Scikit-Learn, Pandas). Strong working knowledge of Jupyter Notebook/Lab is essential

Skilled at defining analytical approaches for projects by converting ambiguous business inquiries into clear, actionable analysis plans