Director of Software Engineering - Asset Wealth Management/Climate Risk (AI/ML)

Director of Software Engineering - Asset Wealth Management/Climate Risk (AI/ML)

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

At a Glance

  • Tasks: Lead innovative AI/ML projects in Asset Wealth Management and Climate Risk.
  • Company: Dynamic firm committed to diversity, equity, and inclusion.
  • Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
  • Other info: Join a forward-thinking team with a focus on cultural change and innovation.
  • Why this job: Make a real impact on climate risk solutions while driving technological advancements.
  • Qualifications: Expertise in software engineering, AI/ML, and leadership experience in diverse teams.

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.

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. Visit our FAQs for more information about requesting an accommodation.

Director of Software Engineering - Asset Wealth Management/Climate Risk (AI/ML) employer: JPMorgan Chase

As a leading employer in Glasgow, we pride ourselves on fostering a dynamic and inclusive work culture that champions diversity and innovation. Our commitment to employee growth is evident through our focus on leadership development and cross-functional collaboration, particularly in the exciting fields of AI and Climate Risk. Join us to be part of a forward-thinking team that not only drives strategic initiatives but also values your contributions and supports your professional journey.

JPMorgan Chase

Contact Details:

JPMorgan Chase Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Director of Software Engineering - Asset Wealth Management/Climate Risk (AI/ML)

Network Like a Pro

Get out there and connect with folks in the industry! Attend meetups, webinars, or even local events. The more people you know, the better your chances of landing that Director of Software Engineering role.

Showcase Your Expertise

When you get the chance to chat with potential employers, make sure to highlight your experience in AI/ML and software engineering. Share specific examples of how you've driven change and innovation in previous roles.

Prepare for the Interview

Do your homework on the company and its culture. Be ready to discuss how you can contribute to their AWM Risk and Climate Risk initiatives. Tailor your answers to show you're the perfect fit for their team!

Apply Through Our Website

Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our diverse and inclusive team.

We think you need these skills to ace Director of Software Engineering - Asset Wealth Management/Climate Risk (AI/ML)

Leadership
AI/ML Expertise
Software Engineering Concepts
Computer Science
Mathematics
Cross-Functional Team Development
Agile Transformation

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in AI/ML and leadership. We want to see how your skills align with the role, so don’t hold back on showcasing your relevant achievements!

Showcase Your Leadership Style:As a Director, we’re keen to understand your approach to leading teams and driving cultural change. Share examples of how you've built and inspired cross-functional teams in the past – it’ll help us see if you’re the right fit for our culture.

Be Clear and Concise:When writing your application, clarity is key! Use straightforward language and avoid jargon where possible. We appreciate a well-structured application that gets straight to the point while still reflecting your personality.

Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!

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 led or contributed to, especially those that align with climate risk or asset wealth management. This shows you're not just familiar with the concepts but have practical experience.

Showcase Leadership Skills

As a Director, you'll need to demonstrate your leadership capabilities. Prepare examples of how you've built and led cross-functional teams, driven cultural change, and influenced stakeholders. Highlight your ability to foster a diverse and inclusive environment, as this is crucial for the role.

Understand the Business Context

Familiarise yourself with the company's strategic goals, especially around asset wealth management and climate risk. Be prepared to discuss how your vision aligns with their objectives and how you can drive AI/ML initiatives that support these goals.

Prepare for Technical Questions

Expect to face technical questions related to software engineering, coding decisions, and data-driven approaches. Brush up on your knowledge of cloud-native technologies and be ready to discuss how you've implemented solutions that enhance maintainability and observability in past roles.