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