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- Tasks: Develop innovative tools and models using machine learning and cloud technology.
- Company: Join a forward-thinking team at a leading data solutions provider.
- Benefits: Gain hands-on experience, competitive salary, and opportunities for growth.
- Why this job: Make a real impact on clients while working with cutting-edge technology.
- Qualifications: Programming skills in Python or similar languages; knowledge of machine learning and data analysis.
- Other info: Collaborative environment with a focus on continuous learning and career development.
The predicted salary is between 30000 - 42000 £ per year.
Join us as an Applied AI ML Associate and help shape the future of data-driven solutions. You’ll collaborate with talented teams, solve complex challenges, and make a real impact for our clients. We offer opportunities to grow your business and technical skills while working with cutting-edge technology. Your contributions will help us deliver meaningful results and showcase the value of our Fusion platform. Be part of a team where your ideas and expertise matter.
As an Applied AI ML Associate in the Data Science team, you will solve complex problems and develop innovative tools and models for internal and external clients. You will build and maintain code and documentation, working closely with data science, product development, and technical teams. You will play a key role in enhancing Fusion, our cloud-native data solution for institutional investors, supporting end-to-end data management, analytics, and reporting. Your work will enable seamless integration of data from multiple sources, helping clients unlock timely analysis and insights. You’ll have the chance to grow your skills and make a critical impact on our team’s success.
Job Responsibilities:
- Develop tools using algorithmic, statistical, and machine learning approaches
- Utilise cloud technology and infrastructure to perform analysis at scale
- Build and maintain code base and documentation
- Implement programmatic data validation by codifying conventions and data relationships
- Optimise processes and improve dataset quality
- Automate repetitive tasks with Python
- Write maintainable and extensible code for other analysts
- Collaborate with data science, product management, and data engineering teams
- Contribute to the development and enhancement of Fusion’s data management and analytics capabilities
- Continuously learn and stay current with industry trends
Required Qualifications, Capabilities, and Skills:
- Programming experience in at least one language for machine learning (e.g., Python, R, MATLAB, Rust)
- Knowledge of open source data analysis tools and visualisation libraries (such as pandas and matplotlib)
- Working knowledge of machine learning libraries
- Familiarity with version control systems (e.g., git)
- Functional skills in SQL and other database technologies
- Strong communication and listening skills
- Ability to thrive in a fast-moving environment with loosely defined tasks
- Attention to detail with strong record-keeping and organisational skills
- Motivation for continuous learning
Preferred Qualifications, Capabilities, and Skills:
- Degree in an analytical discipline (STEM)
- Experience in academic research and writing (e.g., project work, dissertation)
- Basic understanding of financial markets
- Experience with Agentic systems
Why Join Us?
Fusion is a cloud-native data solution for institutional investors, providing end-to-end data management, analytics, and reporting across the investment lifecycle. You’ll help clients seamlessly integrate and combine data from multiple sources into a single data model, delivering the benefits of scale, reduced costs, and the ability to unlock timely analysis and insights. If you’re ready to make an impact and grow your career in a collaborative, innovative environment, we invite you to join our team.
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Applied AI ML Associate - Fusion employer: J.P. Morgan
Contact Detail:
J.P. Morgan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied AI ML Associate - Fusion
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to machine learning and data analysis. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and problem-solving scenarios. Practice coding challenges and be ready to discuss your past projects in detail. Confidence is key!
✨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 genuinely interested in joining our team and contributing to the Fusion platform.
We think you need these skills to ace Applied AI ML Associate - Fusion
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your relevant skills and experiences that align with the Applied AI ML Associate role. We want to see how your background fits into our mission at StudySmarter!
Showcase Your Technical Skills: Don’t forget to mention your programming experience, especially in Python or any other machine learning languages. We’re keen on seeing how you’ve used these skills in past projects or research, so give us the details!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your ideas come across without unnecessary fluff. Remember, we want to know what makes you a great fit for our team!
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. Plus, it’s super easy to do!
How to prepare for a job interview at J.P. Morgan
✨Know Your Tech
Make sure you brush up on your programming skills, especially in Python or R. Be ready to discuss your experience with machine learning libraries and open-source tools like pandas and matplotlib. They’ll want to see how you can apply these in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in previous projects and how you tackled them. Think of examples where you developed innovative tools or optimised processes, as this aligns perfectly with the role's focus on solving complex problems.
✨Collaboration is Key
Since you'll be working closely with various teams, highlight your teamwork experiences. Share instances where you collaborated with data science, product management, or engineering teams to achieve a common goal. This will show that you can thrive in a fast-moving environment.
✨Stay Current and Curious
Demonstrate your motivation for continuous learning by discussing recent trends in AI and machine learning. Mention any courses, workshops, or projects you've undertaken to keep your skills sharp. This shows you're proactive and eager to grow within the field.
