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- Tasks: Shape the future of banking with AI and machine learning solutions.
- Company: Join a leading financial institution focused on innovation.
- Benefits: Competitive salary, career growth, and collaborative work environment.
- Why this job: Make a real impact on banking operations with cutting-edge technology.
- Qualifications: Master’s degree in a quantitative field and hands-on ML experience required.
- Other info: Work in agile teams and develop scalable machine learning products.
The predicted salary is between 36000 - 60000 £ per year.
Join us to shape the future of banking through cutting‑edge AI and machine learning. You’ll collaborate with a dynamic team of data scientists, engineers, and product managers to create impactful products for our operations teams. This is your opportunity to work on unique financial datasets and deliver solutions that make a measurable difference. We value your curiosity and passion for both theory and hands‑on development. Discover career growth and the chance to influence how banking is done.
As an Applied AI & Machine Learning Associate supporting Markets Operations, you will design, develop, and deploy machine learning products that enhance our corporate and investment banking services. You’ll work closely with cross‑functional teams to deliver scalable solutions and drive operational transformation. Your contributions will directly impact how we serve clients and manage behind‑the‑scenes operations. We foster a collaborative environment where your ideas and expertise are valued.
Job Responsibilities- Research and develop innovative machine learning solutions for complex operational challenges
- Build robust data science capabilities scalable across multiple business use cases
- Collaborate with software engineering teams to design and deploy machine learning services
- Analyze large financial datasets using statistical and machine learning techniques
- Communicate AI capabilities and results to technical and non‑technical audiences
- Document methodologies, techniques, and processes
- Write production‑ready code and ensure solutions are deployable at scale
- Develop products that transform corporate and investment banking operations
- Work in agile, cross‑functional teams to deliver impactful solutions
- Master’s degree in a quantitative or computational discipline
- Hands‑on experience developing and deploying data science and machine learning capabilities in production
- Proficiency in Python development, debugging, and maintenance
- Experience with Natural Language Processing (NLP)
- Familiarity with machine learning frameworks (e.g., PyTorch, TensorFlow) and data science packages (e.g., Scikit‑Learn, NumPy, SciPy, Pandas, statsmodels)
- Ability to work independently and collaboratively
- Strong attention to detail and interest in analytical problem‑solving
- Results‑driven mindset with a client focus
- Ability to thrive in agile, cross‑functional teams
- Ability to design model evaluations aligned with business goals
- Experience partnering with non‑specialists and building stakeholder trust
- Experience with inference, training, and deployment of Large Language Models
- Experience building generative AI solutions
- Experience developing scalable machine learning systems
- Familiarity with big‑data technologies such as Spark
Applied AI & Machine Learning Associate – Markets Operations in City of London employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied AI & Machine Learning Associate – Markets Operations in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects and any relevant work you've done. This is your chance to demonstrate your hands-on experience and passion for AI, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We recommend practicing common machine learning scenarios and being ready to discuss your thought process. 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, you’ll find all the latest opportunities tailored to your skills and interests right there.
We think you need these skills to ace Applied AI & Machine Learning Associate – Markets Operations in City of London
Some tips for your application 🫡
Show Your Passion for AI & Machine Learning: When writing your application, let your enthusiasm for AI and machine learning shine through. We want to see your curiosity and how you've applied your knowledge in real-world scenarios. Share specific projects or experiences that highlight your hands-on development skills!
Tailor Your Application: Make sure to customise your CV and cover letter for the Applied AI & Machine Learning Associate role. Highlight relevant experiences and skills that align with the job description. We love seeing how your background fits into our vision of transforming banking operations!
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to communicate your ideas and experiences. Remember, we appreciate strong communication skills, so make it easy for us to understand your qualifications and how you can contribute to our team.
Apply Through Our Website: We encourage you to submit your application directly through our website. This ensures that your application gets to the right people quickly. Plus, it’s a great way to explore more about us and what we stand for before you apply!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and the machine learning frameworks mentioned in the job description, like PyTorch and TensorFlow. Brush up on your knowledge of Natural Language Processing (NLP) and be ready to discuss how you've applied these skills in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex operational challenges using machine learning. Think about the methodologies you used and the impact your solutions had. This will demonstrate your analytical mindset and results-driven approach.
✨Communicate Clearly with Everyone
Since you'll be working with both technical and non-technical teams, practice explaining your projects and findings in simple terms. Being able to bridge the gap between data science and business needs is crucial, so think of ways to make your insights accessible.
✨Emphasise Collaboration
Highlight your experience working in agile, cross-functional teams. Share examples of how you’ve collaborated with engineers and product managers to deliver impactful solutions. This shows that you value teamwork and can thrive in a dynamic environment.
