Risk Management - Model Risk Program Associate

Testing Site - JPMC; Jersey City (NJ); Presencial; USD 120.000 - 180.000; Jornada completa

Descripción de la vacante

JPMorgan Chase is seeking an accomplished professional for the Model Risk Governance and Review (MRGR) team in Jersey City. The role involves independent model validation and governance across CIB Wholesale Payments and Data Science, with exposure to cutting-edge AI/ML, and risk management practices.

You will work on diverse modeling approaches, assess design soundness, and communicate findings through high-quality technical reports, partnering with Risk and Finance to implement robust controls

Formación

• Master's or PhD in a quantitative discipline such as Math, Statistics, Economics, Finance, Engineering or related fields.
• 2+ years in model validation, development, or analytical roles in financial services or similar.
• Strong communication with ability to present complex concepts to varied audiences.
• Solid foundation in statistics with hands-on ML techniques including Regression, Boosted Trees, Neural Networks, SVM, and LLMs.
• Proficiency in Python with data analysis and ML libraries and experience with LLM frameworks.
• Experience with Generative AI, LLMs, prompt engineering, and agentic AI systems.

Responsabilidades

• Conduct independent model validation and governance across a diverse portfolio to mitigate model risk.
• Evaluate adherence to development standards and assess design, assumptions, inputs, testing, implementation, and performance metrics.
• Identify weaknesses, limitations, and emerging risks through testing and monitoring.
• Communicate risk assessments and document high-quality technical reports for stakeholders.
• Determine whether tools/apps qualify as models under the MRGF framework, differentiating models from analytical tools.
• Collaborate with Risk and Finance to provide guidance on usage, controls, and ongoing testing.
• Design, build, and test LLM-based use cases to enhance MRGR processes.

Conocimientos

Quantitative analysis

Strong communication

Statistics

Machine learning

Python programming

LLM / Generative AI

Educación

Master's or PhD in quantitative field

Herramientas

Python

LLM frameworks/APIs

RAG architectures

Descripción del empleo

Join JPMorgan Chase's Risk Management and Compliance team, where your expertise will help us anticipate and navigate emerging risks. As part of the Model Risk Governance and Review (MRGR) team, you'll conduct independent model validation and governance activities to mitigate model risk. Your knowledge will be instrumental in safeguarding the firm from decisions based on unreliable model outputs and ensuring robust model risk management practices.

As an associate in the Model Risk Governance and Review team (CIB Wholesale Payments and Data Science), you will participate in independent model validation and governance activities, helping to identify, assess, and reduce model risk in the firm. This position offers hands‑on experience with diverse modeling approaches while keeping you up to date on the latest developments in products, AI/ML models, Generative AI, and risk management practices.

Job Responsibilities

• Conduct independent model validation and governance activities to mitigate model risk across a diverse portfolio, including CIB Wholesale Payments, CIB Fraud, Marketing, and Operations models.
• Engage in model validation activities and evaluate adherence to development standards including conceptual soundness of design, reasonableness of assumptions, reliability of inputs, completeness of testing, correctness of implementation, and suitability of performance metrics
• Identify weaknesses, limitations, and emerging risks through independent testing, building benchmarks, and ongoing monitoring activities
• Communicate risk assessments and findings to stakeholders, and document high quality technical reports
• Assess and determine whether tools and applications qualify as models under the firm's model risk framework, distinguishing between models, analytical tools, and non-model applications
• Liaise with Risk and Finance professionals to provide oversight and guidance on appropriate usage, controls around model restrictions and limitations, and findings for ongoing performance assessment and testing
• Design, build, and test LLM-based use cases to enhance MRGR processes and improve operational efficiency

Required qualifications, capabilities and skills

• Strong quantitative and analytical skills: The role requires a strong quantitative background based on a Master or PhD Degree in a quantitative discipline such as Math, Statistics, Economics, Finance, Engineering, or related fields
• 2 plus years of experience in model validation, model development, quantitative analysis, or a related analytical role in financial services or a similar industry.
• Strong communication skills, with the ability to present complex concepts to both technical and non-technical audiences. Risk and control mindset: ability to ask incisive questions, assess materiality of model issues, and escalation issues appropriately
• Strong foundation in statistics, with hands-on experience applying statistics and machine learning techniques, including Regression, Boosted Trees, Neural Networks, Support Vector Machines (SVM), and Large Language Models such as BERT.
• Proficiency in Python, with hands-on experience using libraries for data analysis, machine learning, and working with LLM frameworks and APIs
• Experience with Generative AI applications, including Large Language Models, prompt engineering, RAG architectures, and building agentic AI systems.