At a Glance
- Tasks: Drive innovation in data strategy and support data governance for informed decision-making.
- Company: Join a dynamic Country Risk Product Team in London.
- Benefits: Gain valuable experience in a fast-paced environment with excellent career growth.
- Other info: Opportunity to work with technology teams and enhance your data management expertise.
- Why this job: Be a key player in shaping data strategies and implementing cutting-edge AI solutions.
- Qualifications: Bachelor’s degree or equivalent experience; analytical and collaborative skills required.
The predicted salary is between 55000 - 65000 £ per year.
Join our dynamic Country Risk Product Team in London, where your data and product expertise will drive innovation, shape our data strategy, and help protect the firm. As a key contributor, you’ll generate actionable insights and support data governance and integration efforts, enabling the organization to make informed, data-driven decisions. You will also help design and implement cutting-edge AI and analytics solutions, collaborating with technology and business partners to advance strategic objectives.
As a Country Risk Data Owner Associate in the Country Risk Data team, you will support processes that identify, monitor, and mitigate data risks throughout the lifecycle, ensuring data is well-documented, high quality, and secure. You’ll work closely with stakeholders to define data strategy, support modernization initiatives, and strengthen data governance. This role offers an excellent opportunity to develop your skills and knowledge in a dynamic environment, playing a pivotal part in the company’s data strategy initiatives.
Job Responsibilities- Create plans for the development and delivery of product data to support strategic business objectives, business operations, advanced analytics, and metrics and reporting.
- Assist in capturing and documenting metadata and classifiers for critical data, ensuring understanding of impacts on data providers and consumers.
- Support the Product Owner by identifying, sourcing, and tracking data for integration into analytics platforms in a systematic and controlled way.
- Execute processes and procedures to identify, monitor, and mitigate data risks across the Country Risk data lifecycle including risks related to data protection, retention and destruction, storage, use, and quality.
- Maintain and enrich the Country Risk data catalogue and metadata repository for transparency and reuse, while tracking and reporting key data metrics to inform roadmap decisions.
- Participate in data governance and risk management tasks, contributing to data integration efforts and maintaining data publishing standards.
- Design solutions and develop tools that leverage large language models, machine learning, and data science techniques to generate Country Risk insights and optimize data workflows.
- Partner with technology teams to capture data sources, formats, and data flows so that data can be validated for downstream analytics and reporting.
- Collaborate with technology and business resources to ensure data sourcing, content and quality meet established requirements, including a new data insight hub currently under development.
- Bachelor’s degree in a relevant field (e.g. data, computer science, engineering, mathematics, sciences), or equivalent professional experience.
- Analytical thinking and problem-solving skills, with the ability to execute quickly under pressure.
- Ability to work collaboratively with technology and business teams.
- Good communication skills, with the ability to document and convey data-related information clearly.
- Basic understanding of data management principles and data lifecycle management.
- Some knowledge of Python, Tableau, and/or Alteryx.
- Experience in data management, data governance, risk management / analytics or a related field.
- Technical knowledge of data management and governance, big data platforms, or data architecture preferred.
- Familiarity with data governance tools and platforms.
- Experience/expertise in Risk and/or Data Science preferred.
- Knowledge of basic SQL or other data querying languages.
Country Risk Data Owner - Associate employer: Jpmorgan Chase & Co.
Join a forward-thinking organisation in London that prioritises innovation and employee development. As a Country Risk Data Owner Associate, you will thrive in a collaborative work culture that values data-driven decision-making and offers ample opportunities for professional growth. With a focus on cutting-edge AI solutions and a commitment to data governance, this role not only enhances your skills but also contributes significantly to the company's strategic objectives.
StudySmarter Expert Advice🤫
We think this is how you could land Country Risk Data Owner - Associate
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by researching the company and its data strategy. Be ready to discuss how your skills align with their needs, especially around data governance and risk management. Show them you’re not just another candidate!
✨Tip Number 3
Practice your problem-solving skills! Since analytical thinking is key for this role, try tackling some data-related challenges or case studies. This will help you demonstrate your capabilities during interviews.
✨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.
We think you need these skills to ace Country Risk Data Owner - Associate
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Country Risk Data Owner role. Highlight any relevant data management or governance experience, and don’t forget to mention your analytical thinking and problem-solving skills!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data and how your background makes you a great fit for our team. Be sure to mention any specific projects or experiences that relate to the job description.
Showcase Your Technical Skills:If you’ve got experience with Python, Tableau, or Alteryx, make sure to highlight that in your application. We love seeing candidates who can bring technical expertise to the table, especially when it comes to data analytics and governance.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our dynamic Country Risk Product Team!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Data Inside Out
Make sure you understand the data lifecycle and governance principles. Brush up on your knowledge of data management, risk management, and analytics. Being able to discuss how you would identify and mitigate data risks will show that you're ready to contribute to the team.
✨Showcase Your Technical Skills
Familiarise yourself with tools like Python, Tableau, and Alteryx. Be prepared to discuss any relevant projects or experiences where you've used these tools. If you have experience with SQL or data querying languages, make sure to highlight that too!
✨Communicate Clearly and Confidently
Practice explaining complex data concepts in simple terms. You’ll need to work closely with both technical and non-technical stakeholders, so being able to convey information clearly is key. Consider preparing a few examples of how you've successfully communicated data insights in the past.
✨Prepare for Collaboration Questions
Since this role involves working with various teams, think about times when you've collaborated effectively. Be ready to share specific examples of how you’ve partnered with others to achieve a common goal, especially in data-related projects. This will demonstrate your ability to work well in a team environment.
