At a Glance
- Tasks: Design and deploy AI/ML solutions to revolutionise Market Operations.
- Company: Join JPMorgan Chase, a leader in financial services and innovation.
- Benefits: Competitive salary, diverse culture, and opportunities for professional growth.
- Other info: Be part of a diverse team that values your ideas and expertise.
- Why this job: Make a real impact by solving business challenges with cutting-edge technology.
- Qualifications: BSc/MSc in relevant fields and strong AI/ML skills required.
The predicted salary is between 50000 - 70000 £ per year.
Are you passionate about using AI and machine learning to solve real-world business challenges? Join us and help shape the future of Market Operations through cutting-edge technology. You’ll collaborate with talented professionals, grow your skills, and make a meaningful impact on our business. At JPMorgan Chase, we empower you to innovate, automate, and deliver solutions that matter. Be part of a team where your ideas drive progress and your expertise is valued.
As an Applied AI & ML Scientist in the Market Operations team, you will design, develop, and deploy AI/ML solutions that enhance operational efficiency and accuracy. You will collaborate with business stakeholders and technology partners to understand pain points, translate requirements into technical solutions, and ensure successful adoption of AI‑driven tools. Your work will directly support Market Operations, driving impactful change and continuous improvement.
Job Responsibilities- Develop and implement advanced machine learning models and algorithms to solve operational challenges
- Deploy AI/ML solutions for process automation, anomaly detection, document intelligence, and workflow optimization
- Architect and oversee generative AI applications to automate and enhance business processes
- Build and maintain production‑grade AI/ML tools tailored to Market Operations
- Monitor and improve the performance of deployed models and solutions
- Analyze large datasets to identify trends, inefficiencies, and opportunities for automation
- Collaborate with subject matter experts to gather requirements and validate solutions
- Document methodologies, results, and best practices for knowledge sharing
- Stay current with AI/ML advancements and apply relevant techniques to business problems
- BSc/MSc in Data Science, Computer Science, Artificial Intelligence, or a closely related field (or equivalent experience)
- Strong foundation in AI/ML concepts and practical experience with data analysis, feature engineering, and model development
- Experience working with large, complex datasets and applying statistical analysis
- Hands‑on experience training, deploying, and maintaining machine learning models in production
- Proficiency in Python and relevant AI/ML libraries such as scikit‑learn, TensorFlow, PyTorch
- Experience with MLOps practices and tools for managing the machine learning lifecycle
- Experience building and deploying Generative AI applications, including familiarity with LLMOps
- Exposure to cloud platforms such as AWS, GCP, Azure
- Demonstrated problem‑solving skills and ability to work independently or in small teams
- Ability to communicate technical concepts clearly to business stakeholders and non‑technical audiences
- PhD in Data Science, Computer Science, Artificial Intelligence, or a related field
- Experience in financial services, banking, or Market Operations environments
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.
Drive innovation by designing and deploying AI and ML solutions that transform Market Operations and enhance business efficiency.
Associate Applied AI & ML Scientist - Markets Operations employer: TwinThread
At JPMorgan Chase, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As an Associate Applied AI & ML Scientist in our Market Operations team, you will have the opportunity to work with cutting-edge technology alongside talented professionals, while benefiting from continuous learning and growth opportunities. Our commitment to diversity and inclusion ensures that every voice is heard, making it a rewarding environment where your contributions truly matter.
StudySmarter Expert Advice🤫
We think this is how you could land Associate Applied AI & ML Scientist - Markets Operations
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and ML space, especially those at JPMorgan Chase. Use platforms like LinkedIn to connect and engage with them; you never know who might help you land that interview!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really set you apart from the crowd.
✨Tip Number 3
Prepare for the technical interview! Brush up on your Python skills and be ready to discuss your experience with machine learning models. Practising common interview questions can help you feel more confident when it’s your turn to shine.
✨Tip Number 4
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 being part of our team at JPMorgan Chase.
We think you need these skills to ace Associate Applied AI & ML Scientist - Markets Operations
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Associate Applied AI & ML Scientist role. Highlight your experience with AI/ML, especially any projects that demonstrate your ability to solve real-world business challenges.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and machine learning. Share specific examples of how you've used these technologies to drive progress and improve efficiency in past roles.
Showcase Your Technical Skills:Don’t forget to mention your proficiency in Python and any relevant AI/ML libraries. If you’ve worked with cloud platforms or have experience in MLOps, make sure to include that too – it’s what we’re looking for!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to see your application and get you into the process. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at TwinThread
✨Know Your AI/ML Stuff
Make sure you brush up on your AI and machine learning concepts. Be ready to discuss specific algorithms, models, and tools you've used in the past. This role is all about applying these skills to real-world problems, so having concrete examples will really help you stand out.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled operational challenges using AI/ML solutions. Think of a few scenarios where you identified inefficiencies and implemented successful strategies. This will demonstrate your ability to think critically and apply your knowledge effectively.
✨Communicate Clearly
Since you'll be collaborating with both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. Being able to bridge the gap between tech and business is crucial, so consider how you can convey your ideas clearly and confidently.
✨Stay Current with Trends
Familiarise yourself with the latest advancements in AI and ML, especially those relevant to Market Operations. Mentioning recent developments or tools during your interview shows that you're proactive and genuinely interested in the field, which can set you apart from other candidates.
