As an 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 in 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 of data quality, data management, and data contracts and possess the ability to write and understand technical specifications Demonstrated analytical skills with the ability to ”connect the dots” across different data sources and modelling 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