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 with a focus on 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 employer: Jpmorgan Chase & Co.
As a leading employer in the financial services sector, we offer a dynamic work environment where innovation and collaboration thrive. Our Country Risk Analytics team is dedicated to fostering employee growth through hands-on experience with cutting-edge analytics tools and technologies, while our commitment to operational excellence ensures that your contributions will have a meaningful impact on decision-making across global markets. Join us to be part of a culture that values clarity, ownership, and continuous improvement, all within a supportive and inclusive workplace.
StudySmarter Expert Advice🤫
We think this is how you could land Country Risk Analytics- Data Scientist Associate
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your analytics projects, dashboards, and any 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 common data science questions and case studies. Practice explaining your thought process clearly, especially when discussing technical topics with non-technical folks.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Country Risk Analytics- Data Scientist Associate
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Country Risk Analytics role. Highlight your experience with Python and analytics tools, and show how your skills align with the job description. We want to see how you can contribute to our team!
Showcase Your Projects:Include examples of past projects where you've built dashboards or analytics products. We love seeing hands-on experience, so share any relevant work that demonstrates your problem-solving skills and ability to deliver actionable insights.
Communicate Clearly:When writing your application, keep it clear and concise. Remember, we value clarity in communication, so explain your technical skills in a way that’s easy to understand. This will help us see how you can bridge the gap between data and decision-making.
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 shows you’re keen on joining our collaborative team at StudySmarter!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Data Science Basics
Make sure you brush up on your data science fundamentals, especially in Python. Be ready to discuss your experience with building dashboards and analytics tools, as well as any specific projects you've worked on that relate to country risk analytics.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've diagnosed and resolved technical issues in the past. Think about specific challenges you've faced in previous roles and how you overcame them, particularly in a collaborative environment.
✨Communicate Clearly
Since you'll be explaining technical topics to non-technical stakeholders, practice articulating complex ideas in simple terms. Consider doing mock interviews with friends or colleagues to refine your communication style.
✨Understand the Business Context
Familiarise yourself with the company’s approach to country risk and how analytics supports decision-making. Research recent trends in international markets and think about how they might impact the role you're applying for.
