Job
Description
Are you prepared to influence the future of climate risk management at J.P. Morgan? As a crucial part of our Climate, Nature and Social Risk team, youll utilize your data and communication skills to improve our climate and nature risk data capabilities. This role provides a unique chance to contribute to a fast-growing field with significant visibility within the firm. As a Data Associate within the CN&S team, you will be part of the team responsible for managing all aspects of data related to these domains. This includes collaborating with a diverse range of stakeholders, such as business units, vendor organizations, technology teams, data scientists, other JPMC LOBs and applications, and governance and control functions. You will play a key role in planning data requirements, establishing capabilities for data validation, monitoring, access control, reporting, and ensuring data quality. We are looking for a self-starter with a curious mind who is eager to learn and contribute to the firms efforts in climate, nature, and social efforts . Job responsibilities Work closely with, business stakeholders, and technology teams to gather, analyze, and translate business requirements into detailed technical specifications. Integrate and transform data assets across Climate Risk platforms to support analytics and reporting needs. Ensure data is prepared and structured for effective analysis and modeling . Adhere to robust data controls processes, and governance practices in line with firms guidelines Utilize data analytics and reporting tools to develop and maintain interactive reports and dashboards tailored to the needs of the CN&S team. Become an expert in datasets used for climate and nature risk management, particularly geospatial data Interact with business stakeholders to present test results, and research analyses. Build strong relationships to facilitate effective communication and collaboration. Required qualifications, capabilities, and skills Expertise in data management practices, including ensuring data quality, completeness and governance. Knowledge of geospatial datasets, including shapefiles, rasters and netcdfs. Experience with GIS software such as QGIS/ArcGIS and/or geospatial analysis in Python/R. Proficiency in developing and implementing data visualization techniques and tool, using platforms such as Tableau, Business Objects, Alteryx, or similar to create interactive dashboards and reports Excellent analytical skills with the ability to perform data mining and processing to extract meaningful insights. Ability to articulate thoughts clearly and succinctly, both written and verbally. Energetic, self-motivated, and effective under pressure. Must enjoy the challenge of working in a fast-paced and demanding environment. Preferred qualifications, capabilities, and skills Previous experience in the financial industry or related field is a bonus. Understanding and experience operating under Agile methodologies, particularly as part of a product owner team. Familiarity with risk management practices and insights into Climate, Nature, and Social domains are highly valued.
