Data and Model Implementation Lead - Executive Director (London)

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Job Description

As a Data and Model Implementation Lead - Executive Director in the Climate, Nature and Social Risk Data and Model Implementation department, you will play a pivotal role in shaping the bank's approach to managing and advancing our analytical frameworks to address climate-related risks. The ideal candidate will have extensive experience overseeing data and model development activities at a large financial institution or data solutions provider, with a proven track record of driving innovation in risk management, product development, and operational efficiency.

Job Responsibilities

• Lead the design and implementation of climate risk data and analytical frameworks to support the bank's risk management strategies.
• Oversee the integration of climate risk data into existing systems, ensuring accuracy, consistency, and compliance with regulatory requirements and internal policies.
• Execute risk models related to climate, nature, and social factors, ensuring accuracy and reliability.
• Enhance operational efficiency by streamlining processes and implementing best practices in data management and model execution.
• Collaborate with cross-functional teams to integrate risk model insights into business strategies and decision-making processes.
• Spearhead accelerator activities to fast-track the development and deployment of climate risk solutions, leveraging partnerships and external resources as appropriate.

Required Qualifications, Capabilities, and Skills

• Bachelor's degree in Finance, Economics, Data Science, or a related quantitative field.
• Strong technical background with in-depth expertise in data quality, data management, and data contracts, and the ability to write and understand technical specifications.
• Demonstrated analytical skills with the ability to connect the dots across different data sources and modeling areas.
• 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.

Preferred Qualifications, Capabilities, and Skills

• 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.
• Advanced degree preferred.