At a Glance
- Tasks: Shape the future of AI and platform capabilities at Kinexys.
- Company: Join a global leader in financial services with a focus on innovation.
- Benefits: Collaborative culture, diverse team, and opportunities for professional growth.
- Other info: Dynamic environment with a strong emphasis on diversity and inclusion.
- Why this job: Be at the forefront of AI in digital assets and drive impactful initiatives.
- Qualifications: Experience in product or programme management with a passion for AI.
The predicted salary is between 70100 - 100000 £ per year.
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.
- 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:
- 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.
StudySmarter Expert Advice🤫
We think this is how you could land Kinexys - AI & Platform Shared Services - Senior Associate - London in Bristol
✨Tap into Campus Networks
If you're still in uni, don’t forget to engage with your campus's career services and attend finance-related events. Banks often do presentations and recruitment drives on campus, so put yourself out there and make use of these opportunities to show off your passion for the field.
✨Get Certified
Consider pursuing relevant certifications like the CFA or ACCA while you’re job hunting. They not only beef up your CV but also connect you with professional bodies which can lead to networking opportunities and even job openings in banking and financial services.
✨Connect on Professional Platforms
Join finance-focused groups on platforms like LinkedIn and engage in discussions. This can really help you stand out from the crowd, allowing potential employers to see your knowledge and interest in industry trends. Plus, you might stumble upon job postings shared exclusively within the group.
✨Apply Directly and Be Proactive
Don’t shy away from reaching out directly to firms like J.P. Morgan. Use their websites and apply through them, but also consider following up with a polite email to express your enthusiasm. Being proactive can make a huge difference in getting noticed in the competitive financial services sector.
We think you need these skills to ace Kinexys - AI & Platform Shared Services - Senior Associate - London in Bristol
Some tips for your application 🫡
Show Off Your Numbers!:In the banking and financial services world, quantifiable achievements are key. Make sure your CV highlights your grades in relevant subjects, any financial certifications you hold, and specific projects where you've delivered measurable results. Employers love to see how your skills translate into real-world success.
Tailor Your Cover Letter to the Role:When applying for a full-time position, your cover letter should make a direct connection between your experience and the job description. Don't just state your enthusiasm for finance—dive into how your background in banking or financial analysis sets you apart. Let your passion shine through while being specific about what you can bring to J.P. Morgan.
Include Relevant Financial Software Experience:If you've worked with financial modelling tools or software like Excel, SAP, or specific analytical tools during your studies or internships, bring that up! Highlighting your proficiency can really make your application pop and show you're ready to hit the ground running in a full-time role.
Research and Reflect:Before hitting that 'apply' button on J.P. Morgan's website, do a little digging. Look up their recent projects, values, and culture. Reflecting their ethos in your application can make a huge difference and show you’re genuinely interested in being part of the team!
How to prepare for a job interview at J.P. Morgan
✨Brush Up on Financial Analysis Skills
Make sure you're well-versed in financial concepts and analytical techniques relevant to banking and financial services. Get comfortable with tools like Excel for modelling or financial forecasting, as technical questions in this area are common during interviews with J.P. Morgan.
✨Prepare for Case Studies
Expect to tackle case studies that demonstrate your problem-solving skills in real-world banking scenarios. Familiarise yourself with the types of problems you might face—think risk assessments or investment evaluations—and be ready to articulate your thought process clearly.
✨Show Your Passion for Finance
Since this is a full-time position, employers at J.P. Morgan will be keen to see your genuine interest in finance. Be prepared to discuss recent industry trends or news articles that excite you, showcasing your enthusiasm and engagement with the field.
✨Network with Industry Professionals
Before your interview, reach out to current or former J.P. Morgan employees on platforms like LinkedIn. They'll offer unique insights into the company's culture and the interview process, which can give us a delightful edge in showcasing a good fit for the team.
