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- Tasks: Innovate with advanced AI techniques in financial services and build scalable Data Science capabilities.
- Company: Leading global financial services firm focused on cutting-edge technology.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Make a real impact in financial technology while blending research and engineering.
- Qualifications: Master's or PhD in a quantitative field with strong skills in statistics and machine learning.
- Other info: Collaborative environment with a focus on deploying Machine Learning services.
The predicted salary is between 48000 - 72000 £ per year.
A leading global financial services firm is seeking an Applied AI / ML Senior Associate Machine Learning Engineer to innovate using advanced AI techniques in financial services. This role demands a Master's or PhD in a quantitative field, requiring strong skills in statistics and machine learning, including extensive experience with Pytorch and MLOps tooling.
You will build scalable Data Science capabilities and collaborate with engineers to deploy Machine Learning services. This opportunity blends research and engineering, ideal for those looking to impact financial technology.
Senior AI/ML Engineer — Applied Finance Solutions employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI/ML Engineer — Applied Finance Solutions
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI/ML field, especially those working in finance. Use platforms like LinkedIn to connect and engage with them; you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Pytorch and MLOps. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your statistics and machine learning concepts. Practice coding challenges and be ready to discuss your past projects in detail—this is where you can really shine!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that match your skills. Plus, applying directly shows your enthusiasm and commitment to joining our team.
We think you need these skills to ace Senior AI/ML Engineer — Applied Finance Solutions
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI and ML, especially with Pytorch and MLOps tooling. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or research!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about applying AI in finance and how your background makes you a perfect fit for our team. Let us know what excites you about this opportunity!
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've tackled complex problems using machine learning techniques. We love seeing how you approach challenges and innovate solutions, especially in a financial context.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your AI/ML Stuff
Make sure you brush up on your statistics and machine learning concepts. Be ready to discuss your experience with Pytorch and MLOps tooling in detail, as this will likely come up during the interview.
✨Showcase Your Projects
Prepare to talk about specific projects where you've applied AI techniques in financial services. Highlight your role, the challenges you faced, and how you overcame them. This will demonstrate your hands-on experience and problem-solving skills.
✨Collaboration is Key
Since the role involves working with engineers to deploy ML services, be ready to discuss your teamwork experiences. Share examples of how you've collaborated effectively in past roles, especially in cross-functional teams.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to AI in finance. This shows your genuine interest in the role and helps you understand how you can contribute to their goals.
