Kinexys - AI & Platform Shared Services - Senior Associate - London

Join our collaborative environment, where you'll help shape the future of AI and platform capabilities across Kinexys. Grow your skills, contribute to our AI strategy, and drive initiatives end-to-end while working alongside experienced product and technology partners. Don't miss this opportunity to be part of a dynamic team at the forefront of AI in digital assets.

As a Senior Associate in Kinexys AI and Platform Shared Services, you play a pivotal role in building and executing the AI strategy across Kinexys. You support the full lifecycle of AI initiatives — from discovery and data foundations through to delivery and adoption — while helping to establish the standards, governance, and operating model that will define how Kinexys builds with AI at scale. You are a strategic and technical thinker, equally comfortable with developers and senior stakeholders, with a genuine passion for AI and the drive to move fast across multiple priorities.

Job Responsibilities

• Supports the development and execution of the Kinexys AI strategy and roadmap, translating priorities into initiatives and tracking delivery against plan
• Manages end-to-end discovery and delivery of AI initiatives — from problem definition and requirements through to launch and adoption
• Contributes to the design and implementation of AI governance frameworks, including data standards, model oversight, and responsible AI practices
• Drives data management and standardisation efforts, ensuring data assets are well-governed and fit for AI and analytics use
• Collects and communicates metrics on initiative progress and platform performance to inform decision-making and senior stakeholder updates
• Partners with engineering and data teams to shape technical solutions, contributing requirements, user stories, and acceptance criteria
• Manages stakeholder relationships across product, technology, operations, and leadership — maintaining alignment across a matrixed organisation
• Contributes to platform shared services strategy, identifying opportunities to improve tooling, ways of working, and cross-team capabilities
• Monitors AI market trends, emerging tooling, and competitor activity to inform best practices and keep Kinexys ahead of the curve
• Supports internal AI enablement — helping teams across Kinexys understand and adopt AI capabilities effectively

Required Qualifications, Capabilities, and Skills

• Experience or equivalent expertise in product management, programme management, or a relevant domain with exposure to AI or data initiatives
• Developing knowledge of the AI and data product lifecycle, from discovery and data foundations through to production deployment
• Strong data literacy with exposure to data management, standardisation, or analytics workflows
• Technical fluency — able to engage with engineering and data teams, understand architectural tradeoffs, and contribute meaningfully to technical conversations
• Strong collaborator with proven ability to work alongside cross-functional partners including Technology, Operations, and Compliance
• Strategic thinker with the ability to connect the dots across business and functional areas to deliver high-impact solutions
• Highly organised with strong tracking and reporting discipline — comfortable owning metrics, dashboards, and stakeholder communications
• Comfortable working in a fast-paced environment with minimal guidance and a strong sense of ownership
• Genuine curiosity and enthusiasm for AI — you follow the space closely, form opinions, and bring energy to the work

Preferred Qualifications, Capabilities, and Skills

• Demonstrated prior experience working in a highly matrixed, complex organisation
• Hands-on experience building or contributing to enterprise AI or data platforms — from prototype to production at scale
• Familiarity with agentic AI frameworks, LLMs, RAG pipelines, or AI governance and evaluation tooling
• Experience in financial services, digital assets, payments, or a similarly regulated domain
• Prior exposure to distributed ledger technologies, tokenisation, or blockchain infrastructure
• Experience contributing to AI operating models, standards, or centre-of-excellence functions

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

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J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.