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 cutting-edge tools and grow your career.
- Other info: Collaborative environment with opportunities for 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.
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 City of Westminster employer: Jpmorgan Chase & Co.
As a leading employer in the field of analytics, 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 tools and technologies, while our commitment to operational excellence ensures that your contributions 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 engaging workplace.
StudySmarter Expert Advice🤫
We think this is how you could land Country Risk Analytics- Data Scientist Associate in City of Westminster
✨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 in City of Westminster
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 problem-solving abilities.
Communicate Clearly:Remember, you’ll be working with stakeholders who may not be as technical. Use clear language in your application to explain your experience and how you can translate complex data into actionable insights. We appreciate clarity just as much as you do!
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 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 examples of how you've tackled technical issues in the past. Think about times when you had to troubleshoot analytics outputs or improve existing workflows. This will demonstrate your ability to manage analytics products effectively.
✨Communicate Clearly
Since you'll be working with stakeholders who may not have a technical background, practice explaining complex concepts in simple terms. This will show that you can bridge the gap between technical and non-technical audiences, which is crucial for this role.
✨Emphasise Collaboration
Be ready to discuss your experience working in teams and how you’ve partnered with different stakeholders. Highlight any instances where you gathered requirements or prioritised product enhancements, as this shows your ability to work collaboratively in a dynamic environment.
