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- Tasks: Lead climate risk data frameworks and integrate models for effective risk management.
- Company: Join J.P. Morgan, a global leader in financial services with over 200 years of client-first principles.
- Benefits: Enjoy competitive pay, remote work options, and a dynamic work environment.
- Why this job: Be at the forefront of climate risk innovation and make a real impact on sustainability.
- Qualifications: Bachelor's in Finance, Data Science, or related field; strong analytical and communication skills required.
- Other info: Experience in product management and climate risk tools is preferred.
The predicted salary is between 43200 - 72000 £ per year.
As a Model and Data Product Manager in Climate, Nature and Social Risk (CN&S) Data and Model Implementation team, you will play a pivotal role in shaping our bank's approach to managing and advancing our analytical frameworks to address climate-related risks. This role requires a deep understanding of various climate models used in understanding climate risks and their linkages, offering oversight on the integration of these models, data requirements and analytical work. You will have the opportunity to leverage your extensive experience in overseeing data and model development activities in a large financial institution or data solutions provider. This role will allow you to promote 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, with a focus on understanding and integrating different climate models.
- Oversee the execution and integration of climate risk data into existing systems, ensuring accuracy, consistency, reliability and compliance with regulatory requirements and internal policies.
- Be a subject matter expert in climate models, including the logic and assumptions underlying the CN&S teams’ model suite.
- Work closely with the Modelling Team as part of continuous delivery to ensure seamless integration and updates.
- Gather evidence and define requirements for high-value recurring issues, usability gaps, or additions to modelling features.
- Establish tests to ensure that model updates and features meet quality expectations before client release.
- Enhance operational efficiency by streamlining processes and implementing best practices in data management and model execution.
- Utilize advanced techniques (e.g. statistical analysis, visualization, sensitivity testing) to interrogate, validate, and interpret model outputs.
- 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.
Risk Management - Model and Data Product Manager - Executive Director employer: J.P. Morgan
Contact Detail:
J.P. Morgan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Risk Management - Model and Data Product Manager - Executive Director
✨Tip Number 1
Familiarise yourself with the latest climate risk models and data management techniques. Understanding the nuances of these models will not only help you in interviews but also demonstrate your commitment to the role.
✨Tip Number 2
Network with professionals in the climate risk and financial sectors. Attend relevant conferences or webinars to connect with industry experts, which can provide insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss specific examples from your past experience where you've successfully integrated data solutions or improved operational efficiency. This will showcase your practical knowledge and problem-solving skills.
✨Tip Number 4
Stay updated on regulatory requirements related to climate risk in the banking sector. Being knowledgeable about compliance issues will position you as a well-rounded candidate who understands the broader implications of the role.
We think you need these skills to ace Risk Management - Model and Data Product Manager - Executive Director
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and qualifications required for the Model and Data Product Manager position. Familiarise yourself with climate risk models and their applications in financial services.
Tailor Your CV: Highlight your relevant experience in risk management, data analytics, and product development. Emphasise any specific projects or roles where you've worked with climate models or data management to demonstrate your expertise.
Craft a Compelling Cover Letter: Use your cover letter to explain why you're passionate about climate risk management and how your skills align with the role. Mention specific experiences that showcase your analytical skills and ability to communicate complex data insights effectively.
Showcase Technical Skills: In your application, be sure to mention your technical skills related to data quality, statistical analysis, and familiarity with regulatory requirements. Providing examples of how you've applied these skills in previous roles can strengthen your application.
How to prepare for a job interview at J.P. Morgan
✨Showcase Your Technical Expertise
Make sure to highlight your deep understanding of climate models and data management during the interview. Be prepared to discuss specific examples from your past experience that demonstrate your ability to oversee data and model development activities.
✨Communicate Clearly and Effectively
Since this role involves conveying complex model outputs to senior management, practice explaining technical concepts in simple terms. Use clear examples to illustrate how your insights can impact business strategies and decision-making processes.
✨Demonstrate Problem-Solving Skills
Be ready to discuss how you've tackled high-value recurring issues or usability gaps in previous roles. Share specific instances where you implemented innovative solutions that enhanced operational efficiency or improved data management practices.
✨Prepare for Regulatory Discussions
Familiarise yourself with the regulatory requirements related to climate risk in the banking sector. Be prepared to discuss how you would ensure compliance while integrating climate risk data into existing systems, showcasing your understanding of both the technical and regulatory landscapes.
