Data and Model Implementation Lead - Executive Director

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London
1 week ago
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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.

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