JPMorgan Chase is looking to enhance its analytical frameworks for managing climate-related risks by implementing advanced data and model solutions.
Requirements
- Strong technical background with in-depth expertise of data quality, data management, and data contracts and possess the ability to write and understand technical specifications
- Demonstrated analytical skills with the ability to ”connect the dots” across different data sources and modelling areas
- Advanced knowledge of data modeling, statistical analysis, and risk assessment methodologies
- Experience with climate risk modeling tools and software
- Familiarity with regulatory requirements related to climate risk in the banking sector
- Strong problem-solving skills and the ability to think strategically and innovatively
- Experience in product management, including the development and launch of new products or services
Responsibilities
- Lead the design and implementation of climate risk data and analytical frameworks to support the bank's risk management strategies, with a focus on understanding and integrating different climate models.
- Oversee the execution and integration of climate risk data into existing systems, ensuring accuracy, consistency, reliability and compliance with regulatory requirements and internal policies.
- Be a subject matter expert in climate models, including the logic and assumptions underlying the CN&S teams’ model suite.
- Work closely with the Modelling Team as part of continuous delivery to ensure seamless integration and updates.
- Gather evidence and define requirements for high-value recurring issues, usability gaps, or additions to modelling features.
- Establish tests to ensure that model updates and features meet quality expectations before client release.
- Utilize advanced techniques (e.g. statistical analysis, visualization, sensitivity testing) to interrogate, validate, and interpret model outputs.
Other
- Bachelor's degree in Finance, Economics, Data Science, or a related quantitative field
- Excellent communication and presentation skills, with the ability to convey business implications of model outputs to senior management and other stakeholders
- Proven experience in risk management, data analytics, product development or a related field within a large financial institution or vendor
- Advanced degree preferred
