At a Glance
- Tasks: Shape analytics products that drive decision-making in international markets.
- Company: Join a dynamic team focused on data, risk, and technology.
- Benefits: Gain hands-on experience with competitive pay and growth opportunities.
- Other info: Collaborative environment promoting continuous improvement and innovation.
- Why this job: Make a real impact by turning data into actionable insights.
- Qualifications: Experience in data science and strong Python programming skills required.
The predicted salary is between 40000 - 50000 £ per year.
This role offers the opportunity to shape analytics products that support decision-making across complex international markets. You will work at the intersection of data, risk, and technology, turning information into clear, actionable insights. If you enjoy building robust analytics tools and improving how data supports business outcomes, this role offers real scope to grow and innovate.
As a Country Risk Analytics - Data Scientist – Associate in the Country Risk Analytics team, you will help build and run analytics products that support how we understand and manage country risk across the firm. You will work hands-on with data, code, and stakeholders to deliver reliable dashboards and insights that inform decisions in dynamic global environments. You will be part of a collaborative team that values clarity, ownership, and continuous improvement. Together, we focus on creating data tools that are practical, resilient, and genuinely useful for the business.
Job responsibilities
- Design, build and enhance analytics products, including dashboards and data-driven insights
- Own the end-to-end lifecycle of analytics products, from development through ongoing support
- Maintain and improve Python code and supporting workflows to ensure reliability and clarity
- Monitor analytics outputs and troubleshoot issues to ensure consistent, high-quality delivery
- Partner with stakeholders to gather requirements and prioritise product enhancements
- Translate business needs into practical analytics solutions
- Apply best practices in version control, testing, and documentation
- Support the operational stability of analytics tools used by senior stakeholders
- Contribute to the adoption of new tools and emerging analytical capabilities
- Promote a culture of operational excellence and continuous improvement
Required qualifications, capabilities, and skills
- Industry experience in data science, analytics, or a closely related discipline
- Strong programming capability in Python
- Hands-on experience building and supporting dashboards or analytics tools in a business environment
- Experience working with analytics and visualisation platforms such as Tableau or equivalent tools
- Proven ability to manage analytics products used in decision-making processes
- Strong problem-solving skills with the ability to diagnose and resolve technical issues
- Clear communication skills, with experience explaining technical topics to non-technical audiences
- Experience working collaboratively with multiple stakeholders
- Understanding of data management and governance principles
- Bachelor’s degree or equivalent professional qualification
Preferred qualifications, capabilities, and skills
- Experience working in a risk, finance, or regulated environment
- Familiarity with additional analytics or workflow tools such as Alteryx or Sigma
- Exposure to large-scale or complex data environments
- Interest in emerging analytics and artificial intelligence capabilities
- Experience improving or modernising existing analytics platforms
Country Risk Analytics- Data Scientist Associate in London employer: JPMorganChase
As a leading employer in the field of data science and analytics, we offer a dynamic work environment where innovation thrives. Our collaborative culture encourages continuous improvement and professional growth, providing employees with the opportunity to develop robust analytics products that have a real impact on decision-making in international markets. Located in a vibrant city, we also provide access to cutting-edge technology and resources, ensuring our team is well-equipped to excel in their roles.
StudySmarter Expert Advice🤫
We think this is how you could land Country Risk Analytics- Data Scientist Associate in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your analytics projects, dashboards, and any cool Python code you've written. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the business side of things. We recommend practising common data science interview questions and being ready to discuss how your work can impact decision-making.
✨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 at StudySmarter.
We think you need these skills to ace Country Risk Analytics- Data Scientist Associate in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in data science and analytics. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or tools you've worked with!
Showcase Your Technical Skills:Since this role requires strong programming skills in Python, be sure to mention any specific projects where you’ve used Python to build dashboards or analytics tools. We love seeing hands-on experience, so include examples that demonstrate your coding prowess!
Communicate Clearly:Remember, you’ll be working with stakeholders who may not be as technical. Use clear language in your application to explain your past experiences and how they relate to the role. We appreciate candidates who can bridge the gap between tech and business!
Apply Through Our Website:We encourage you 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 shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at JPMorganChase
✨Know Your Data Inside Out
Make sure you’re familiar with the types of data and analytics tools mentioned in the job description. Brush up on your Python skills and be ready to discuss how you've used it to build dashboards or analytics products in the past.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled technical issues or improved analytics processes. Be ready to explain your thought process clearly, as this role requires translating complex problems into actionable insights for stakeholders.
✨Communicate Clearly and Confidently
Practice explaining technical concepts in simple terms. You’ll need to demonstrate that you can communicate effectively with non-technical audiences, so think of ways to simplify your past experiences.
✨Emphasise Collaboration
This role is all about teamwork, so come prepared with examples of how you’ve worked with different stakeholders. Highlight your ability to gather requirements and prioritise enhancements based on business needs.
