Lead Quant Modeling VP - Risk and AI Validation

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 180,000 - 240,000; Full time

Job summary

JPMorgan Chase & Co. in New Jersey seeks a Risk Management Quant Modeling Lead/VP to independently assess and challenge marketing models that drive customer acquisition, engagement, retention, cross-sell, pricing and profitability.

You will collaborate with model developers, business stakeholders and governance teams to ensure conceptual soundness, regulatory compliance and effective communication of risk findings to senior leadership.

Qualifications

• Master's or PhD in Mathematics, Statistics, Computer Science, Engineering, Economics, Quantitative Finance, or related field
• Minimum 6 years of relevant hands-on experience
• Hands-on experience with applied AI/ML and strong understanding of GLMs, tree-based models, deep learning, transformers, LLMs, and modern AI techniques
• Strong foundation in statistics and machine learning techniques
• Experience with Python and machine learning frameworks such as PyTorch, TensorFlow, XGBoost, or LightGBM
• Excellent written and verbal communication skills
• Risk and control mindset with ability to assess and elevate model issues

Responsibilities

• Lead and conduct independent model validation and governance activities across CCB Marketing
• Assess conceptual soundness, implementation accuracy, performance, limitations, and business suitability of statistical, machine learning, and AI models
• Review traditional regression, decision tree, and advanced machine learning models, including neural networks, transformers, recommender systems, reinforcement learning, Generative AI, LLM-based solutions, and agentic systems
• Communicate model risk assessments and validation findings through technical reports and presentations
• Maintain model risk control apparatus and serve as first point of contact for stakeholders
• Stay current with emerging AI and LLM developments and assess their application within business workflows
• Provide actionable recommendations for risk management
• Collaborate with model developers, business stakeholders, governance teams, and senior leadership
• Ensure models are compliant with the Firm's Model Risk Management framework and regulatory expectations
• Escalate material model issues appropriately
• Present complex AI concepts to technical and non-technical audiences

Skills

Applied AI/ML

Python

PyTorch

TensorFlow

XGBoost

LightGBM

Communication skills

Risk mindset

Education

Master's or PhD in Mathematics, Statistics, Computer Science, Engineering, Economics, Quantitative Finance, or related field

Tools

PyTorch

TensorFlow

XGBoost

LightGBM

Job description

JPMorgan Chase & Co. in New Jersey seeks a Risk Management Quant Modeling Lead/VP to independently assess and challenge marketing models that drive customer acquisition, engagement, retention, cross-sell, pricing and profitability.

You will collaborate with model developers, business stakeholders and governance teams to ensure conceptual soundness, regulatory compliance and effective communication of risk findings to senior leadership.