Director, AI/ML for Risk & Climate in AWM in Glasgow

Director, AI/ML for Risk & Climate in AWM in Glasgow

Glasgow Full-Time 100000 - 150000 £ / year (est.) No working from home possible
JPMorgan Chase

At a Glance

  • Tasks: Lead AI/ML initiatives for Risk & Climate in Asset Wealth Management.
  • Company: Join J.P. Morgan, a global leader in financial services.
  • Benefits: Diverse and inclusive workplace with career growth opportunities.
  • Other info: Dynamic role with a focus on cultural change and collaboration.
  • Why this job: Make a real impact on climate risk and drive innovation.
  • Qualifications: Expertise in AI/ML, software engineering, and team leadership required.

The predicted salary is between 100000 - 150000 £ per year.

This key leadership role will have the responsibility for overseeing and driving the strategic direction for Asset Wealth Management (AWM) Risk and Climate Risk in Glasgow and partner with other regional leads to drive the overall program. Additionally, this role will focus on driving AI/ML deliveries with the AWM & Climate Risk multi-year key business initiatives and drive the Climate Risk Environmental & Social (E&S) Score project to develop data ingestion, calculation, and a visualization platform.

Job responsibilities

  • Provides visionary leadership to Glasgow team, works with current Glasgow Leads and continues to build the leadership and team expertise, ensuring a forward-looking and innovative approach to AWM Risk and Climate Risk programs.
  • Heads key business deliveries focused on AI/ML ensuring it is aligned to the Corporate Technology modernization strategy.
  • Oversees decisions that influence teams’ resources, budget, tactical operations, and the execution and implementation of processes and procedures.
  • Carries governance accountability for coding decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations.
  • Delivers technical solutions that can be leveraged across multiple businesses and domains.
  • Influences peer leaders and senior stakeholders across the business, product, and technology teams.
  • Champions the firm’s culture of diversity, equity, inclusion, and respect.

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and expert applied experience.
  • Expertise in Computer Science, Computer Engineering, Mathematics, AI/ML or a related technical field.
  • Demonstrated ability to drive cultural change without direct team ownership across a globally diverse organization.
  • Experience developing or leading cross-functional teams of technologists.
  • Experience with hiring, developing, and recognizing talent.
  • Experience in agile transformation at scale.
  • Experience working with Site Reliability Engineering (SRE) and Support teams to foster a culture of observability, maintainability and constantly work toward meeting SLIs/SLOs as well as helping to assess and maintain them.
  • Experience in developing and deploying machine learning models in real-world application.

Preferred qualifications, capabilities, and skills

  • Experience with natural language processing (NLP) and computer vision.
  • Experience in working with and leveraging a data driven approach to decision making.
  • Practical cloud native experience.

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.

Director, AI/ML for Risk & Climate in AWM in Glasgow employer: JPMorgan Chase

J.P. Morgan is an exceptional employer, offering a dynamic work environment in Glasgow that fosters innovation and collaboration within the Asset Wealth Management sector. With a strong commitment to diversity, equity, and inclusion, employees are empowered to grow their careers through leadership opportunities and cutting-edge projects in AI/ML and Climate Risk. The company’s focus on employee development and a culture of respect makes it an ideal place for those seeking meaningful and rewarding employment.

JPMorgan Chase

Contact Details:

JPMorgan Chase Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Director, AI/ML for Risk & Climate in AWM in Glasgow

Tip Number 1

Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can open doors that a CV just can't.

Tip Number 2

Prepare for interviews by researching the company and its culture. We want you to show how you fit into their vision, especially in areas like AI/ML and climate risk.

Tip Number 3

Practice your pitch! Be ready to explain your experience and how it aligns with the role. Highlight your leadership skills and innovative ideas in AI/ML.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!

We think you need these skills to ace Director, AI/ML for Risk & Climate in AWM in Glasgow

Leadership
AI/ML Expertise
Software Engineering Concepts
Computer Science
Mathematics
Cultural Change Management
Cross-Functional Team Development

Some tips for your application 🫡

Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Director, AI/ML for Risk & Climate role. Highlight your leadership experience and any relevant projects you've led in AI/ML or climate risk.

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about AWM and how your background makes you the perfect fit for this role. Be sure to mention any innovative approaches you've taken in previous positions.

Showcase Your Technical Skills:Since this role involves overseeing AI/ML deliveries, make sure to detail your technical expertise in your application. Mention specific technologies or methodologies you've used, especially in machine learning and data-driven decision making.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in Glasgow!

How to prepare for a job interview at JPMorgan Chase

Know Your AI/ML Stuff

Make sure you brush up on your AI and machine learning knowledge. Be ready to discuss specific projects you've worked on, especially those that relate to risk management or climate initiatives. This role is all about driving AI/ML deliveries, so showcasing your expertise will definitely impress.

Show Leadership Skills

This position requires visionary leadership, so think of examples where you've led teams or influenced change. Prepare to talk about how you've built team expertise and fostered a culture of diversity and inclusion. They want to see that you can inspire and guide others.

Understand the Business Context

Familiarise yourself with J.P. Morgan's approach to Asset Wealth Management and how it relates to climate risk. Being able to connect your technical skills to the business objectives will show that you understand the bigger picture and can drive strategic initiatives effectively.

Prepare for Technical Questions

Expect some deep dives into your technical background, especially around software engineering concepts and cloud-native experience. Brush up on your coding knowledge and be ready to discuss how you've developed and deployed machine learning models in real-world applications.