At a Glance
- Tasks: Lead the GenAI strategy and drive AI adoption in a dynamic financial environment.
- Company: Join J.P. Morgan, a global leader in financial services with a commitment to diversity.
- Benefits: Full-time role with opportunities for professional growth and a supportive work culture.
- Why this job: Shape the future of AI in finance and make a real impact on innovative projects.
- Qualifications: Experience in GenAI, strong analytical skills, and a passion for continuous learning.
- Other info: Be part of a community that supports women in data and fosters innovation.
The predicted salary is between 72000 - 108000 £ 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/ML 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.
As GenAI Enablement Lead, you will be tasked with the development of AI strategy, in particular around Large Language Models (LLMs). The team contributes to the strategy for the CIB’s AI&ML initiatives, drives CIB’s adoption of GenAI and provides client advisory on the topic of GenAI to key CIB clients. This role provides an excellent opportunity to influence and shape the strategic agenda for GenAI adoption and spearhead the deployment of JPM's GenAI products within the CIB. You will gain highly technical expertise in Data, AI, and Machine Learning, and refine your problem-solving and communication skills. You will also be expected to identify emerging trends before they become widely adopted in the market, and stay updated on competitor strategies and new technologies as the AI landscape continues to evolve.
Job responsibilities
- Develop technical expertise in GenAI, specifically to become an SME on LLMs and Agents
- Critically assess GenAI products and influence the product roadmap
- Define and deconstruct complex problems that can be solved through GenAI and identify key priority CIB use cases
- Provide thought leadership on GenAI & LLMs to key CIB clients
- Assimilate information and provide synthesised views for senior management
- Identify emerging trends ahead of broader market adoption
Required qualifications, capabilities, and skills
- Driven with a strategic and curious mindset and keen to continuously learn
- Prior experience with and knowledge of GenAI required, including LLMs, Prompt Engineering and agentic framework
- Outstanding ability to analyse problems and apply quantitative analytical approaches with excellent attention to detail
- Strong verbal/written skills; ability to communicate effectively with management
Preferred qualifications, capabilities, and skills
- Experience or understanding of Financial Services
- BSc or MSc degree in relevant field (e.g. Computer Science)
- Knowledge of Python, orchestration frameworks
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.
About the Team: 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.
GenAI Enablement Lead – Vice President in London employer: Women in Data
Contact Detail:
Women in Data Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GenAI Enablement Lead – Vice President in London
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn, especially those connected to Women in Data. A friendly message can go a long way in getting your foot in the door.
✨Tip Number 2
Prepare for the interview by researching the latest trends in GenAI and LLMs. Show that you’re not just knowledgeable but also passionate about the field. We want to see your enthusiasm!
✨Tip Number 3
Practice your pitch! Be ready to explain how your skills align with the role of GenAI Enablement Lead. We love candidates who can clearly articulate their value and vision.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re serious about joining our team at Women in Data.
We think you need these skills to ace GenAI Enablement Lead – Vice President in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the GenAI Enablement Lead role. Highlight your experience with LLMs and AI strategies, as this will show us you're a perfect fit for the position.
Showcase Your Skills: Don’t just list your qualifications; demonstrate how your skills in problem-solving and analytics can drive the GenAI agenda. Use specific examples to illustrate your expertise and impact in previous roles.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about why you’re the right person for the job.
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 without any hiccups!
How to prepare for a job interview at Women in Data
✨Know Your GenAI Inside Out
Make sure you have a solid understanding of Generative AI, especially Large Language Models (LLMs). Brush up on the latest trends and applications in the field, as well as J.P. Morgan's specific use cases. This will help you demonstrate your expertise and show that you're genuinely interested in the role.
✨Prepare for Problem-Solving Questions
Expect to face complex problem-solving scenarios during the interview. Practice breaking down intricate problems and think about how GenAI can provide solutions. Use real-world examples from your experience to illustrate your thought process and analytical skills.
✨Showcase Your Communication Skills
Since the role involves advising clients and communicating with senior management, it's crucial to convey your ideas clearly and effectively. Prepare to discuss technical concepts in a way that's accessible to non-experts. Practise articulating your thoughts on GenAI and its impact on business strategies.
✨Research the Company Culture
Familiarise yourself with J.P. Morgan's values and their commitment to diversity and inclusion. Be ready to discuss how your personal values align with theirs. Showing that you understand and appreciate the company culture can set you apart from other candidates.