At a Glance
- Tasks: Lead climate risk data frameworks and enhance operational efficiency in a dynamic banking environment.
- Company: Join a leading financial institution focused on innovative risk management and sustainability.
- Benefits: Enjoy competitive perks, potential remote work options, and opportunities for professional growth.
- Why this job: Make a real impact on climate-related risks while collaborating with diverse teams and driving innovation.
- Qualifications: Bachelor's degree in a quantitative field; strong analytical and communication skills required.
- Other info: Advanced degree and experience with climate risk tools preferred.
The predicted salary is between 54000 - 84000 £ per year.
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
- 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.
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success. Risk Management helps the firm understand, manage and anticipate risks in a constantly changing environment. The work covers areas such as evaluating country-specific risk, understanding regulatory changes and determining credit worthiness. Risk Management provides independent oversight and maintains an effective control environment.
Data and Model Implementation Lead - Executive Director employer: J.P. MORGAN-1
Contact Detail:
J.P. MORGAN-1 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data and Model Implementation Lead - Executive Director
✨Tip Number 1
Network with professionals in the climate risk and data management sectors. Attend industry conferences, webinars, or local meetups to connect with potential colleagues and learn about the latest trends and challenges in the field.
✨Tip Number 2
Familiarise yourself with the specific climate risk modelling tools and software mentioned in the job description. Gaining hands-on experience or certifications in these tools can set you apart from other candidates.
✨Tip Number 3
Prepare to discuss your previous experiences in risk management and data analytics during interviews. Be ready to provide concrete examples of how you've driven innovation and improved operational efficiency in past roles.
✨Tip Number 4
Stay updated on regulatory requirements related to climate risk in the banking sector. Understanding these regulations will not only help you in the role but also demonstrate your commitment to compliance and best practices.
We think you need these skills to ace Data and Model Implementation Lead - Executive Director
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data management, risk assessment, and model implementation. Use specific examples that demonstrate your expertise in climate-related risks and your ability to drive innovation.
Craft a Compelling Cover Letter: In your cover letter, express your passion for climate risk management and how your background aligns with the bank's goals. Mention specific projects or achievements that showcase your leadership in data and model development.
Highlight Technical Skills: Clearly outline your technical skills related to data quality, statistical analysis, and risk modeling tools. Provide examples of how you've applied these skills in previous roles to enhance operational efficiency.
Showcase Communication Abilities: Emphasise your communication and presentation skills in your application. Describe instances where you've successfully conveyed complex data insights to senior management or cross-functional teams, demonstrating your ability to connect data with business implications.
How to prepare for a job interview at J.P. MORGAN-1
✨Showcase Your Technical Expertise
Make sure to highlight your strong technical background in data quality and management. Be prepared to discuss specific examples of how you've developed or overseen data models, especially in relation to climate risk.
✨Demonstrate Analytical Skills
Prepare to illustrate your ability to connect different data sources and modelling areas. Use real-life scenarios where you successfully analysed complex data sets to inform decision-making.
✨Communicate Effectively
Practice conveying complex model outputs in a way that is understandable to non-technical stakeholders. This role requires excellent communication skills, so be ready to demonstrate how you've done this in past roles.
✨Understand Regulatory Requirements
Familiarise yourself with the regulatory landscape surrounding climate risk in the banking sector. Be prepared to discuss how you have ensured compliance in previous projects and how you would approach this in the new role.