Associate Applied AI & ML Scientist â Markets Operations in London

Associate Applied AI & ML Scientist â Markets Operations in London

London Full-Time 50000 - 70000 £ / year (est.) No working from home possible

At a Glance

  • Tasks: Develop and implement AI/ML models to tackle real-world business challenges.
  • Company: Join JPMorgan Chase, a leading financial institution with a focus on innovation.
  • Benefits: Competitive salary, diverse work environment, and opportunities for professional growth.
  • Other info: Collaborative team culture with a commitment to diversity and inclusion.
  • Why this job: Shape the future of Market Operations with cutting-edge AI and ML solutions.
  • 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.

Join us to help shape the future of Market Operations through innovative AI and ML solutions at one of the world’s leading financial institutions.

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
Required Qualifications, Capabilities, and Skills
  • 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
Preferred Qualifications, Capabilities, and Skills
  • 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.

Associate Applied AI & ML Scientist â Markets Operations in London employer: 慨正橡扯

At JPMorgan Chase, we pride ourselves on being a leading financial institution that fosters innovation and collaboration. Our work culture is built on empowering employees to leverage cutting-edge AI and machine learning technologies to tackle real-world challenges, while also providing ample opportunities for professional growth and development. Join us in a dynamic environment where your contributions are valued, and you can make a meaningful impact on the future of Market Operations.

Contact Details:

慨正橡扯 Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Associate Applied AI & ML Scientist â Markets Operations in London

Tip Number 1

Network like a pro! Reach out to professionals in the AI and ML space, especially those at JPMorgan Chase. A friendly chat can open doors and give you insights that a job description just can't.

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 impress hiring managers.

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 techies and non-techies.

Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our team at JPMorgan Chase.

We think you need these skills to ace Associate Applied AI & ML Scientist â Markets Operations in London

Machine Learning
AI/ML Model Development
Data Analysis
Feature Engineering
Statistical Analysis
Python
scikit-learn

Some tips for your application 🫡

Show Your Passion for AI & ML:When writing your application, let your enthusiasm for AI and machine learning shine through! We want to see how you can use these technologies to tackle real-world challenges, so share any relevant projects or experiences that highlight your passion.

Tailor Your Application:Make sure to customise your application to fit the job description. Highlight your experience with machine learning models, data analysis, and any specific tools mentioned like Python or TensorFlow. This shows us you’ve done your homework and are genuinely interested in the role.

Be Clear and Concise:We appreciate clarity! Use straightforward language to explain your skills and experiences. Avoid jargon unless it’s necessary, and make sure your application is easy to read. This helps us understand your qualifications without getting lost in technical details.

Apply Through Our Website:Don’t forget 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 makes the whole process smoother for everyone involved.

How to prepare for a job interview at 慨正橡扯

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 complex datasets and operational challenges before. Think of a few scenarios where you identified inefficiencies and implemented solutions. This will demonstrate your ability to think critically and apply your knowledge effectively.

Familiarise Yourself with MLOps

Since this position involves managing the machine learning lifecycle, make sure you understand MLOps practices and tools. Be ready to discuss any experience you have with deploying and maintaining models in production, as well as any cloud platforms you've worked with.

Communicate Clearly

You'll need to explain technical concepts to non-technical stakeholders, so practice articulating your ideas clearly and concisely. Use simple language to describe complex topics, and be prepared to answer questions from those who may not have a technical background.