At a Glance
- Tasks: Shape analytics products that drive decision-making in international markets.
- Company: Join J.P. Morgan's innovative Country Risk Analytics team.
- Benefits: Competitive salary, professional development, and a collaborative work environment.
- Other info: Dynamic role with opportunities for growth and innovation in analytics.
- Why this job: Make a real impact by turning data into actionable insights.
- Qualifications: Experience in data science, strong Python skills, and dashboard development.
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
- 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
- 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: J.P. Morgan
At J.P. Morgan, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Country Risk Analytics - Data Scientist Associate, you will have access to extensive growth opportunities, working alongside talented professionals in a supportive environment that values clarity and continuous improvement. Our commitment to operational excellence and the use of cutting-edge technology ensures that you will be at the forefront of analytics, making a meaningful impact in the financial sector.
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. 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 your technical skills and understanding the business context. Be ready to discuss how your work can impact decision-making in complex international markets—this is key for roles like the one at J.P. Morgan.
✨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 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 involves a lot of hands-on work with Python and analytics tools, be sure to mention any specific programming projects or dashboards you've built. We love seeing practical examples of your work that demonstrate your capabilities.
Communicate Clearly:Remember, you’ll be explaining complex data concepts to non-technical stakeholders. Use your application to show us how you can break down technical jargon into clear, actionable insights. This will set you apart from other candidates!
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 J.P. Morgan
✨Know Your Data Science Basics
Make sure you brush up on your data science fundamentals, especially around Python and analytics tools. Be ready to discuss your previous projects and how you’ve used data to drive decisions. This will show that you can handle the technical aspects of the role.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems in past roles. Think about specific challenges you faced with data or analytics products and how you resolved them. This will demonstrate your ability to think critically and adapt in dynamic environments.
✨Communicate Clearly
Practice explaining technical concepts in simple terms. You might need to communicate with stakeholders who aren’t as tech-savvy, so being able to break down complex ideas is key. Consider doing mock interviews with friends to refine this skill.
✨Understand the Business Context
Research the company’s approach to country risk and how analytics plays a role in their decision-making. Being able to connect your technical skills to their business needs will set you apart and show that you’re genuinely interested in the role.
