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- Tasks: Explore and implement transformative AI solutions to tackle real-world challenges.
- Company: Join JPMorgan Chase, a leader in risk management and compliance.
- Benefits: Competitive salary, health benefits, and opportunities for continuous learning.
- Why this job: Make a real impact with cutting-edge AI/ML technologies in a collaborative environment.
- Qualifications: Degree in a technical field and experience with AI/ML models.
- Other info: Dynamic team culture focused on innovation and operational excellence.
The predicted salary is between 36000 - 60000 £ per year.
Bring your expertise to JPMorgan Chase. As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about challenging the status quo and striving to be best in class.
As a Data Scientist Associate in our Data Science team, you will explore, pilot, and implement transformative AI solutions—including GenAI—in collaboration with Product, Engineering, and Lines of Business. In this pivotal role, you will join a team that values experimentation, delivery, and continuous learning, where your ideas are encouraged and operational excellence is a shared goal. You will leverage your expertise in data and advanced analytics to develop robust tools and solutions using the latest AI/ML techniques, cloud technologies, data mesh architectures, and enterprise knowledge bases. Together, we design scalable, high-quality internal solutions that integrate seamlessly into business operations, driving adoption and effective model management. By collaborating with business units, technology partners, and stakeholders, we enable our AI/ML solutions to deliver real business value and become embedded into our workflows for lasting impact.
Responsibilities
- Apply AI/ML techniques—including LLMs, Generative AI, NLP, and coding assistants—to solve business problems and enhance product capabilities.
- Collaborate with product, business, and cross-functional teams to define project goals, requirements, and plans, participating in stakeholder-facing communications as needed and assist in designing experiments, implementing algorithms, validating results, and productionizing trustworthy, explainable AI/ML solutions.
- Deliver projects using Agile/sprint methodologies, translating business requirements into technical specifications, and supporting milestone achievement.
- Write secure, high-quality production code, review and debug code, and contribute to documentation of code repositories and technical challenges.
- Integrate advanced analytics models and applications into operational workflows to facilitate business value and adoption.
- Implement robust drift monitoring and model retraining processes to maintain accuracy and performance (ongoing performance monitoring).
Required qualifications, capabilities and skills
- Bachelor's or Master's degree in engineering, computer science, statistics, mathematics or a related technical or quantitative field.
- Proven track record of deploying AI, ML, and advanced analytics models in a large-scale enterprise environment.
- Hands-on experience with AI/ML algorithms, statistical modeling, and scalable data processing pipelines.
- Proficiency with machine learning frameworks such as Tensorflow, Pytorch, Scikit-Learn, and agentic workflows and frameworks such as LangChain, LangGraph, and Auto-GPT.
- Ability to convey technical concepts and results to both technical and business audiences.
- Scientific mindset with a proven ability to innovate and work both independently and collaboratively within a team.
- Ability to thrive in a matrixed environment and build effective partnerships with colleagues at various levels and across multiple locations.
Risk Management - Data Scientist Associate in Bournemouth employer: J.P. Morgan
Contact Detail:
J.P. Morgan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Risk Management - Data Scientist Associate in Bournemouth
✨Tip Number 1
Network like a pro! Reach out to current employees at JPMorgan Chase on LinkedIn or through mutual connections. A friendly chat can give you insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 2
Prepare for the interview by diving deep into AI/ML topics relevant to the role. Brush up on your knowledge of LLMs, Generative AI, and how they apply to risk management. Show them you’re not just a data whiz but also passionate about solving real-world challenges.
✨Tip Number 3
Practice your coding skills! Be ready to tackle some live coding challenges during interviews. Use platforms like LeetCode or HackerRank to sharpen your skills and get comfortable with problem-solving under pressure.
✨Tip Number 4
Don’t forget to showcase your projects! Whether it’s a personal project or something from your studies, having tangible examples of your work with AI/ML can really set you apart. Make sure to highlight how your solutions delivered value and drove results.
We think you need these skills to ace Risk Management - Data Scientist Associate in Bournemouth
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Data Scientist Associate. Highlight your experience with AI/ML techniques and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about risk management and how your background makes you a great fit for our team. Let us know how you can contribute to our mission at JPMorgan Chase.
Showcase Your Projects: If you've worked on any cool AI/ML projects, make sure to mention them! We love seeing real-world applications of your skills. Include links to your GitHub or any other platforms where we can check out your work.
Apply Through Our Website: Don't forget to apply 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 us you're serious about joining our team!
How to prepare for a job interview at J.P. Morgan
✨Know Your AI/ML Stuff
Make sure you brush up on your knowledge of AI and ML techniques, especially those mentioned in the job description like LLMs and Generative AI. Be ready to discuss how you've applied these technologies in real-world scenarios, as this will show your practical experience and understanding.
✨Showcase Your Collaboration Skills
Since the role involves working with cross-functional teams, prepare examples that highlight your ability to collaborate effectively. Think about times when you’ve worked with product managers or engineers to achieve a common goal, and be ready to share those stories.
✨Demonstrate Your Problem-Solving Mindset
Be prepared to discuss specific challenges you've faced in deploying AI/ML models and how you overcame them. This could include anything from debugging code to implementing monitoring processes. Showing your scientific mindset and innovative approach will impress the interviewers.
✨Practice Explaining Technical Concepts
You’ll need to convey complex technical ideas to both technical and non-technical audiences. Practice explaining your past projects in simple terms, focusing on the impact they had on the business. This will demonstrate your communication skills and your ability to bridge the gap between tech and business.