Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Optimise business decisions using innovative machine learning techniques in a dynamic financial environment.
- Company: Global financial services leader with a commitment to excellence and client success.
- Benefits: Competitive salary, diverse team culture, and opportunities for professional growth.
- Why this job: Join a collaborative team and make a real impact in the world of finance.
- Qualifications: Master's or PhD in a quantitative field, strong Python skills, and Data Science experience.
- Other info: Exciting role with opportunities for research, development, and deployment of ML solutions.
The predicted salary is between 48000 - 72000 £ per year.
A global financial services leader is seeking an Applied AI ML Senior Associate in London to optimize business decisions with innovative machine learning techniques. This role involves research, development, and deployment of ML solutions within the Corporate & Investment Bank.
Candidates should have a Master's or PhD in a quantitative field, robust Python skills, and experience in Data Science.
Join a diverse team dedicated to excellence and client success in a collaborative environment.
Applied AI/ML Senior Associate, Payments - Financial Analytics employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied AI/ML Senior Associate, Payments - Financial Analytics
✨Tip Number 1
Network like a pro! Reach out to professionals in the financial analytics space on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really impress potential employers.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python skills and be ready to discuss your experience with data science. Practising common interview questions can help you feel more confident when it’s time to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Applied AI/ML Senior Associate, Payments - Financial Analytics
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python skills and any relevant experience in Data Science. We want to see how you can apply your knowledge to optimise business decisions using machine learning techniques.
Tailor Your Application: Don’t just send a generic CV and cover letter. We love it when candidates tailor their applications to the role. Mention specific projects or experiences that relate to the job description, especially in the context of financial analytics.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured documents that make it easy for us to see your qualifications and fit for the role. Avoid jargon unless it’s relevant!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your ML Techniques
Make sure you brush up on the latest machine learning techniques relevant to the financial sector. Be prepared to discuss how you've applied these methods in past projects, especially in optimising business decisions.
✨Showcase Your Python Skills
Since robust Python skills are a must, be ready to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice common data science tasks and be familiar with libraries like Pandas and Scikit-learn.
✨Research the Company
Understand the company’s position in the financial services industry and their approach to AI and machine learning. This will help you tailor your answers and show that you're genuinely interested in contributing to their success.
✨Emphasise Collaboration
Given the collaborative environment mentioned in the job description, be prepared to share examples of how you've worked effectively in teams. Highlight your communication skills and how you’ve contributed to team success in previous roles.
