At a Glance
- Tasks: Develop and implement advanced AI/ML models to tackle operational challenges and enhance business processes.
- Company: Join J.P. Morgan, a global leader in financial services with a focus on innovation.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Collaborative environment with a culture of continuous improvement and innovation.
- Why this job: Make a real impact by optimising processes and driving efficiency with cutting-edge AI technology.
- Qualifications: Bachelor's or Master's in Data Science or related field; strong AI/ML foundation required.
The predicted salary is between 63000 - 77000 £ per year.
- Develop and implement advanced machine learning models and algorithms to address operational challenges
- Deploy AI/ML solutions for process automation, anomaly detection, document intelligence, and workflow optimization
- Architect and oversee generative AI applications to automate and enhance business processes
- Build and maintain production-grade AI/ML applications and tools for Market Operations
- Monitor, evaluate, and improve the performance of deployed models and solutions
- Analyze large and complex datasets to identify trends, inefficiencies, and opportunities for automation
- Collaborate with subject matter experts to gather requirements, validate solutions, and measure impact
- Document methodologies, results, and best practices to support knowledge sharing and scalability
- Stay current with AI/ML advancements and apply relevant techniques to business problems
Bachelor's or Master's degree in Data Science, Computer Science, Artificial Intelligence, or a related field (or equivalent experience) - Strong foundation in AI/ML concepts and practical experience with data analysis, feature engineering, and model development
- Experience working with large, complex datasets and applying statistical analysis
- Hands-on experience training, deploying, and maintaining machine learning models in production environments
- Proficiency in Python and relevant AI/ML libraries (such as scikit‑learn, Tensor Flow, Py Torch)
- Experience with MLOps practices and tools for managing the machine learning lifecycle
- Experience building and deploying Generative AI applications, including familiarity with LLMOps
- Exposure to cloud platforms such as AWS, GCP, Azure
- Demonstrated problem-solving skills and ability to work independently or in small teams
- Ability to communicate technical concepts clearly to business stakeholders and non-technical audiences
Preferred Qualifications, Capabilities, and Skills
- Ph D in Data Science, Computer Science, Artificial Intelligence, or a related field
- Experience in financial services, banking, or Markets Operations environments
As an Applied AI & ML Scientist in the Market Operations team, you will design, develop, and deploy AI/ML solutions that directly support and enhance Markets Operations.
You will collaborate with business stakeholders and technology partners to understand operational needs, translate requirements into technical solutions, and ensure successful adoption of AI-driven tools.
You'll help foster a culture of innovation and continuous improvement, making a tangible impact on our business.
Your work will contribute to optimizing processes and driving efficiency across the team.
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.
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.
#J-18808-Ljbffr
Applied AI & ML Scientist - Markets Operations in City of Westminster employer: JPMorgan Chase & Co.
JPMorgan Chase & Co. is an exceptional employer, offering a dynamic work environment in the heart of London’s International Private Bank. With a strong emphasis on professional development, employees benefit from comprehensive training programs and opportunities for career advancement, all while enjoying a collaborative culture that values teamwork and innovation. The role of Executive Assistant not only provides a chance to work closely with senior leaders but also allows for meaningful contributions to the success of the team in a prestigious financial institution.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI & ML Scientist - Markets Operations in City of Westminster
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like JPMorgan Chase & Co.!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Applied AI & ML Scientist - Markets Operations at JPMorgan Chase & Co..
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like JPMorgan Chase & Co..
✨Apply Directly through Our Website
When you find a suitable opening like Applied AI & ML Scientist - Markets Operations at JPMorgan Chase & Co., make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Applied AI & ML Scientist - Markets Operations in City of Westminster
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at JPMorgan Chase & Co., 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 JPMorgan Chase & Co.. 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 JPMorgan Chase & Co.
✨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!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨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 JPMorgan Chase & Co.!
✨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.
