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- Tasks: Develop innovative ML solutions to tackle complex operational challenges.
- Company: Join JPMorgan's leading data analytics team in a dynamic banking environment.
- Benefits: Competitive salary, professional growth, and the chance to work with cutting-edge technology.
- Why this job: Make a real impact by optimising business decisions with advanced AI techniques.
- Qualifications: Master's or PhD in a quantitative field and strong Python skills required.
- Other info: Collaborative culture with opportunities for career advancement and skill development.
The predicted salary is between 36000 - 60000 £ per year.
Join JPMorgan Corporate Investment Bank's industry-leading data analytics team, where you'll combine cutting-edge machine learning techniques with unique data assets to optimize business decisions. As an Applied AI & Machine Learning Associate, you'll advance financial applications from business intelligence to predictive models and automated decision-making, working closely with Digital & Platform Services Operations.
As an Applied AI ML Senior Associate in the Commercial & Investment Bank, you will apply data analytics techniques from traditional statistics and machine learning to various datasets, aiming to answer questions relevant to Operations. Collaborate with Digital & Platform Services Operations teams and other stakeholders to support the Corporate & Investment Bank and its partners.
Job Responsibilities
- Research and develop innovative ML-based solutions to address Operations' most challenging problems.
- Build robust Data Science capabilities scalable across multiple business use cases.
- Collaborate with the software engineering team to design and deploy Machine Learning services integrated with strategic systems.
- Research and analyze datasets using a variety of statistical and machine learning techniques.
- Communicate AI capabilities and results to both technical and non-technical audiences.
- Document approaches, techniques, and processes followed.
Required Qualifications, Capabilities, and Skills
- Master's or PhD degree in a quantitative or computational discipline.
- Hands-on experience developing and deploying Data Science and ML capabilities in production at scale.
- Strong Python development and debugging skills.
- Ability to work both individually and collaboratively with others.
- Curiosity, attention to detail, and interest in complex analytical problems.
- Results-driven mindset and client focus.
- Ability to work in agile cross-functional teams.
Preferred Qualifications, Capabilities, and Skills
- Experience with Natural Language Processing (NLP).
- Ability to design intrinsic and extrinsic evaluations of a model's performance aligned with business goals.
- Ability to work with non-specialists in a partnership model, conveying information clearly and creating trust with stakeholders.
- Experience with machine learning frameworks (e.g., PyTorch, TensorFlow), data science packages (e.g., Scikit-Learn, NumPy, SciPy, Pandas, statsmodels) and GenAI toolkit.
- Experience in ML Ops.
Applied AI ML Senior Associate - Payments - Commercial and Investment Bank employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied AI ML Senior Associate - Payments - Commercial and Investment Bank
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at JPMorgan. Use LinkedIn to connect and engage with them. A friendly chat can sometimes lead to job opportunities that aren't even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it's predictive models or data analysis, having tangible examples of your work can really impress hiring managers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with Python and ML frameworks. Practising common interview questions can help you feel more confident when it’s your turn to shine.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Applied AI ML Senior Associate - Payments - Commercial and Investment Bank
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your hands-on experience with machine learning and data science, as well as any relevant projects you've worked on.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and machine learning in the finance sector. Share specific examples of how you've tackled complex analytical problems and what results you achieved.
Showcase Your Technical Skills: Don’t forget to mention your proficiency in Python and any machine learning frameworks you've used. We want to see your technical chops, so include any relevant projects or contributions to open-source work.
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 you’re keen on joining our team!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your ML Basics
Make sure you brush up on your machine learning fundamentals. Be ready to discuss various algorithms, their applications, and how they can be used to solve real-world problems in finance. This will show that you have a solid foundation and can think critically about the challenges faced by the team.
✨Showcase Your Python Skills
Since strong Python development skills are crucial for this role, prepare to demonstrate your coding abilities. You might be asked to solve a problem or debug a piece of code during the interview. Practise common data manipulation tasks using libraries like Pandas and NumPy to ensure you're ready.
✨Prepare for Collaboration Questions
As this role involves working closely with cross-functional teams, expect questions about your experience in collaborative environments. Think of examples where you've successfully worked with others, especially in agile settings, and be ready to discuss how you communicate complex ideas to non-technical stakeholders.
✨Research JPMorgan's AI Initiatives
Familiarise yourself with JPMorgan's recent projects and innovations in AI and machine learning. Understanding their approach to data analytics and how they integrate these technologies into their operations will help you align your answers with their goals and demonstrate your genuine interest in the company.
