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Data and Model Implementation Lead - Executive Director

J.P. MORGAN-1

Greater London

On-site

GBP 80,000 - 150,000

Full time

2 days ago
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Job summary

An established industry player is seeking a Data and Model Implementation Lead to drive innovation in climate risk management. This pivotal role involves overseeing the design and integration of analytical frameworks, ensuring compliance and operational efficiency. The ideal candidate will possess extensive experience in data management and risk analytics within large financial institutions. Join a forward-thinking team dedicated to addressing climate-related risks and making a significant impact on the bank's strategic decision-making processes. This is a unique opportunity to leverage your expertise in a dynamic environment focused on sustainability and innovation.

Qualifications

  • Extensive experience in data and model development in financial institutions.
  • Strong technical background in data quality and management.

Responsibilities

  • Lead design and implementation of climate risk data frameworks.
  • Oversee integration of climate risk data into existing systems.
  • Collaborate with teams to integrate risk model insights into strategies.

Skills

Data Management
Risk Management
Analytical Skills
Communication Skills
Problem-Solving

Education

Bachelor's degree in Finance
Bachelor's degree in Economics
Bachelor's degree in Data Science
Advanced degree preferred

Tools

Climate Risk Modeling Tools

Job description

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

Required qualifications, capabilities, and skills
  1. Bachelor's degree in Finance, Economics, Data Science, or a related quantitative field.
  2. Strong technical background with expertise in data quality, data management, and data contracts; ability to write and understand technical specifications.
  3. Demonstrated analytical skills with the ability to connect data sources and modeling areas.
  4. Excellent communication and presentation skills to convey model insights to senior management and stakeholders.
  5. Proven experience in risk management, data analytics, product development, or related fields within large financial institutions or vendors.

Preferred qualifications, capabilities, and skills
  1. Advanced knowledge of data modeling, statistical analysis, and risk assessment methodologies.
  2. Experience with climate risk modeling tools and software.
  3. Familiarity with regulatory requirements related to climate risk in banking.
  4. Strong problem-solving skills with strategic and innovative thinking.
  5. Experience in product management, including launching new products or services.
  6. Advanced degree preferred.
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