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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.
- Other info: Work in agile teams and influence how banking is done.
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
Required Qualifications, Capabilities, and Skills:
- 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
Preferred Qualifications, Capabilities, and Skills:
- 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 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 London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those that relate to finance. This will give potential employers a taste of what you can do and how you can contribute to their team.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical audiences.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team and shaping the future of banking with us.
We think you need these skills to ace Applied AI & Machine Learning Associate – Markets Operations in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the job description. Highlight your hands-on experience in AI and machine learning, especially any projects that involved financial datasets or operational challenges.
Craft a Compelling Cover Letter: Use your cover letter to showcase your passion for AI and machine learning. Share specific examples of how you've collaborated with teams and delivered impactful solutions, as this is key to our collaborative environment at StudySmarter.
Showcase Your Technical Skills: Don’t forget to mention your proficiency in Python and any relevant machine learning frameworks. We love seeing candidates who can communicate their technical capabilities clearly, so make it easy for us to see your expertise!
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 your enthusiasm for joining our team!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Tech Inside Out
Make sure you’re well-versed in the machine learning frameworks and data science packages mentioned in the job description. Brush up on your Python skills, especially debugging and maintenance, as you’ll likely be asked to demonstrate your coding abilities during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples of how you've tackled complex operational challenges using AI and machine learning. Think about projects where you’ve developed innovative solutions and be ready to explain your thought process and the impact of your work.
✨Communicate Clearly with Everyone
Since you’ll be collaborating with both technical and non-technical teams, practice explaining your AI capabilities and results in simple terms. This will help you build rapport and trust with stakeholders who may not have a technical background.
✨Emphasise Collaboration and Agility
Highlight your experience working in agile, cross-functional teams. Share examples of how you’ve contributed to team success and adapted to changing requirements, as this is crucial for the role and shows you can thrive in their collaborative environment.
