At a Glance
- Tasks: Lead AI initiatives, develop models, and deploy software solutions for diverse business functions.
- Company: Join J.P. Morgan, a global leader in financial services with a focus on innovation.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Collaborative environment with mentorship opportunities and career advancement.
- Why this job: Make a real impact by solving complex problems with cutting-edge AI technology.
- Qualifications: Advanced degree in STEM and strong Python skills required.
The predicted salary is between 60000 - 80000 £ per year.
As an Applied AI Lead in our cross-functional team you will use your advanced applied research, AI engineering and data science expertise to drive and lead complex initiatives across the Corporate Functions including Risk, Finance, Compliance and Legal. You will collaborate closely with technology and business partners to source, analyse and integrate diverse data; develop & evaluate models; architect, implement & deploy software solutions to public cloud infrastructure benefiting over 200k employees across the lines of business.
You'll solve business problems by building systems to surface insights from a wide and ever-increasing range of data sources including news, company filings, non-government organisation reports and market data. You'll care about producing high-quality, maintainable AI solutions and be keen to develop skills across a broad and evolving technology stack centred on Large Language Models (LLMs), Generative AI, Agentic systems, Python and AWS cloud infrastructure.
Job responsibilities:
- Lead the design, build and deployment of impactful end-to-end AI solutions surfacing actionable insights for many business groups as part of a diverse team.
- Drive and participate in exciting research and development activities for new and existing AI products, setting technical direction and standards.
- Engage with stakeholders to understand and translate business requirements into robust technical solutions.
- Oversee the complete product and software development lifecycle, including architecture, design, coding, testing, peer review, continuous integration and deployment, and validation.
- Mentor and guide junior team members, fostering a culture of technical excellence through knowledge sharing, pair programming, collaborative debugging and design workshops.
Required qualifications, capabilities, and skills:
- Advanced degree (Master's or PhD) in a STEM subject (including Data Science, Computer Science, Engineering, Physical Sciences, Applied Mathematics or Statistics).
- Extensive practical research experience and a proven track record of applying AI and adjacent techniques to solve real-world problems in industry or academia.
- Strong Python programming skills and deep familiarity with the Python ecosystem (i.e. pandas, numpy, scikit-learn, pytorch, pip, pytest).
- Demonstrated ability to lead technical teams and initiatives with strong communication and stakeholder management skills.
Preferred qualifications, capabilities, and skills:
- Experience applying large language models in agentic systems in industry.
- Practical experience with graph technologies including databases and graph analytics frameworks.
- Experience in natural language processing (NLP) and its applications.
- User interface design and development experience using React.
- Exposure to public cloud technologies and microservice deployment.
- Experience in the financial services industry.
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.
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
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We think this is how you could land Applied AI Lead
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We think you need these skills to ace Applied AI Lead
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at J.P. Morgan, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at J.P. Morgan. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at J.P. Morgan
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at J.P. Morgan!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
