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Job Description

Nature & Social Risk provide oversight of the firm’s lines of business, including the processes that support consistent identification, escalation, management and monitoring of Nature & Social Risk issues, and provide effective challenge on Nature & Social matters.

As a Nature and Social Risk Vice President in the Risk Management Nature and Social Risk Team, you’ll be at the center of keeping Company X strong and resilient. Nature and Social (N&S) Risk is responsible for developing and implementing the firm’s approach to Nature and Social Risk matters.

Responsibilities

• Support 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.
• Determine 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.
• Establish requirements and drive firm wide / 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.
• Engage 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.
• Participate in responding to global E&S related regulations (existing and evolving) including where necessary participate in preparation of external E&S risk related disclosures.
• provide Input 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.
• Possess financial institution or banking experience, though not necessarily required.

Requirements

• Experience in environmental and / or climate modeling 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 math
• 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.