JPMorgan Risk Management - Forecasting Model Review Associate 

United States, New York, New York 

925148070

Being part of the MRGR team will put you at the center of the firm’s model validation and governance activities with exposure to a wide variety of model types and cutting edge modeling techniques, while frequently interacting with the best and brightest in the firm. You will expand your knowledge of the different forecasting models used in the firm, their unique limitations, and use that knowledge to help shape business strategy and protect the firm.

As a Risk Management - Forecasting Model Review Associate, you will be a part of Risk Management and Compliance, you will be at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class.

Job Responsibilities

• Set standards for robust model development practices and enhance them as needed to meet evolving industry standards
• Evaluate adherence to development standards including soundness of model 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 of benchmark models, and ongoing monitoring activities
• Communicate risk assessments and findings to stakeholders, and document in high quality technical reports
• Assist the firm in maintaining (i) appropriateness of ongoing model usage, and (ii) the level of aggregate model risk within risk appetite

Required qualifications, skills and capabilities

• A Master’s degree in a quantitative field such as Math, Physics, Engineering, Economics or Finance is required.
• Strong communication skills verbally and particularly in writing, with the ability to interface with other functional areas in the firm on model-related issues and write high quality technical reports.
• Experience with large data sets is required.
• Experience in a quantitative or modeling role.
• Understanding of Python, R, or equivalent.
• Deep understanding of statistics and econometrics.
• Risk and control mindset: ability to ask incisive questions, assess materiality of model issues, and escalate issues appropriately.

Preferred qualifications, skills and capabilities

• PhD will be a plus.
• Experience with loan loss forecasting and grading models