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- Tasks: Drive high-impact AI initiatives and analyse analytics data for strategic insights.
- Company: Join J.P. Morgan, a global leader in financial services with a focus on innovation.
- Benefits: Competitive salary, diverse work culture, and opportunities for professional growth.
- Why this job: Be at the forefront of AI integration in finance and make a real impact.
- Qualifications: Strong analytical skills, proficiency in Python, and experience with data visualisation tools.
- Other info: Dynamic environment with a commitment to diversity and inclusion.
The predicted salary is between 36000 - 60000 £ per year.
J.P. Morgan is seeking talented candidates for the Chief Analytics Office (CAO) of the Commercial & Investment Bank (CIB). The CIB CAO is responsible for accelerating the Analytics agenda globally across Markets Trading, Sales & Research, Payments, Securities Services, and Global Banking—driving the integration of advanced analytics and AI into business strategies to deliver measurable commercial impact.
The responsibilities of the Chief Analytics Office include advancing both traditional AI and generative AI capabilities, identifying priorities and focusing on high-impact AI use cases, setting the GenAI strategy around LLMs and Agentic AI, reusing and scaling AI solutions across lines of business, fostering a culture of innovation and an AI-first mindset among employees.
Key Responsibilities:
- The Analytics Portfolio Management team for the CIB Chief Analytics Office is responsible for the end-to-end coordination of the analytics operating model in the entire CIB and for driving high priority AI initiatives.
- The position would support delivery of the CIB's strategic AI priorities, providing portfolio analysis and recommendations, contributing to business development and enabling the wider AI community.
- Perform in-depth analysis of CIB analytics data to uncover trends, inefficiencies, and opportunities.
- Scope complex business problems, formulate hypotheses, and design robust, scalable analytical solutions leveraging AI and automation.
- Develop sophisticated, interactive dashboards and visualizations to translate complex analytics into actionable insights for senior stakeholders.
- Identify opportunities for solution reuse, scalability, and continuous improvement across the portfolio.
- Proactively generate new ideas to enhance the analytics operating model, develop proof-of-concept solutions, and help shape best practices in the CIB AI community.
- Partner with stakeholders to set objectives, align on resource allocation, strategies and analytics priorities.
- Design and implement automated processes ensuring data integrity and real-time visibility.
- Manage and execute key analytics projects, facilitating idea generation and applying quantitative frameworks to assess project opportunities and enable prioritisation.
Required Qualifications, Capabilities, and Skills:
- Driven with a strategic and curious mindset and not afraid to challenge the status quo.
- Outstanding ability to analyse problems and apply quantitative analytical approaches.
- Proficiency in Python, data visualisation software (e.g. Tableau) and data analytics software (e.g. Alteryx).
- Able to deliver to conclusion multiple initiatives across a diverse group of partners, with the ability to manage multiple deliverables and work under pressure.
- Easily assimilate new information with excellent attention to detail.
- Strong verbal/written skills; ability to communicate effectively.
Preferred Qualifications, Capabilities, and Skills:
- Business management, project or product management experience preferred.
- Experience or understanding of Financial Services and/or AIML Technologies preferred.
Analytics Portfolio Management in London employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Portfolio Management in London
✨Tip Number 1
Network like a pro! Reach out to current employees at J.P. Morgan through LinkedIn or industry events. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Prepare for those interviews by practising common questions related to analytics and AI. We should also be ready to discuss our past projects and how they align with J.P. Morgan's goals in the Chief Analytics Office.
✨Tip Number 3
Showcase our skills! Create a portfolio that highlights our analytical projects, especially those involving Python and data visualisation tools. This will help us stand out and demonstrate our capabilities.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our application to match the specific role in the Analytics Portfolio Management team.
We think you need these skills to ace Analytics Portfolio Management in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Analytics Portfolio Management role. Highlight your experience with AI, analytics, and any relevant tools like Python or Tableau. We want to see how your skills align with our needs!
Showcase Your Analytical Skills: In your application, don’t just list your skills—demonstrate them! Use specific examples of how you've tackled complex problems or developed analytical solutions in the past. This will help us see your strategic mindset in action.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon where possible. We appreciate a well-structured application that gets straight to the point while showcasing your personality.
Apply Through Our Website: We encourage you to submit your application through our official website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our company there!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Analytics Inside Out
Make sure you brush up on your analytics knowledge, especially around AI and automation. Be ready to discuss how you've used tools like Python and Tableau in past projects, as well as any specific examples of how you've uncovered trends or solved complex business problems.
✨Showcase Your Problem-Solving Skills
Prepare to demonstrate your strategic mindset by discussing how you've approached challenging situations in the past. Think of examples where you've scoped complex problems, formulated hypotheses, and designed analytical solutions that had a measurable impact.
✨Communicate Effectively
Since this role involves translating complex analytics into actionable insights for senior stakeholders, practice explaining your past projects clearly and concisely. Use storytelling techniques to make your experiences relatable and engaging.
✨Emphasise Collaboration and Innovation
Be ready to talk about how you've partnered with different stakeholders in previous roles. Highlight any initiatives where you fostered a culture of innovation or contributed to best practices in analytics, showing that you're not just a lone wolf but a team player who can drive change.
