Description As part of the firm’s Risk Management and Compliance function you are at the centre of keeping JPMorgan Chase strong and resilient. Environmental and Social (E&S) Risk is responsible for developing and implementing the firm’s approach to E&S risk matters. E&S Risk provide oversight of the firm’s lines of business, including the processes that support consistent identification, escalation, management and monitoring of E&S risk issues, and provide effective challenge on E&S matters. In addition, this role will require extensive collaboration with the firm’s Climate Risk team. Job responsibilities Supports development of an in-house analytical and model-driven approach for the appropriate environmental risks for the firm to consider, covering varying environmental / nature-related topics and the potential transmission channels to the financial sector Determines appropriate metrics for assessing environmental risk at the portfolio, client and asset level – both direct and indirect through operations and supply chain impacts, for example, qualitative heat maps or risk scores Establishes requirements and drive firmwide / legal entity needs for collecting data on environmental risks and potential risk-related scenario analysis. Specifically identify, assess and select relevant data vendors both open source or third-party Engages and coordinate with other functions across the firm on environmental risk matters e.g. Corporate Responsibility, Compliance, Controls, Chief Data Office, other risk functions including model risk etc Participations in responding to global E&S related regulations (existing and evolving) including where necessary participation in preparation of external E&S risk related disclosures Inputs into research on a range of E&S issues and thematic topics that affects the firm and its clients e.g. biodiversity, supply chain issues etc Financial institution or banking experience not necessarily required Required qualifications, capabilities and skills Experience in environmental and / or climate modelling including in model evaluation and development, ideally applied to business cases Excellent analytical skills and comfort working with large datasets Proficient with coding (Python) and geospatial analysis Strong academic background in a highly quantitative discipline, including engineering, physics, geography or maths Understanding of the current voluntary and regulatory landscape for environmental topics, including nature, as it relates to the financial sector Knowledge of environmental risks and the transmission channels through which these can manifest for financial institutions Highly effective in narrating analytical output to stakeholders, with an ability to convey information clearly, accurately and succinctly (both written and verbally) with strong interpersonal and presentation skills