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- Tasks: Collaborate with teams to analyse data and develop innovative solutions for banking.
- Company: Join JP Morgan Chase, a leader in transforming digital banking experiences.
- Benefits: Competitive salary, diverse team culture, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on data governance and compliance.
- Why this job: Make a real impact in the financial sector while working with cutting-edge technology.
- Qualifications: Experience in data analysis, SQL, and a passion for problem-solving.
The predicted salary is between 55000 - 65000 £ per year.
At JP Morgan Chase, we understand that customers seek exceptional value and a seamless experience from a trusted financial institution. That's why we launched Chase UK to transform digital banking with intuitive and enjoyable customer journeys. With a strong foundation of trust established by millions of customers in the US, we have been rapidly expanding our presence in the UK and soon across Europe. We have been building the bank of the future from the ground up, offering you the chance to join us and make a significant impact.
As a Data Management Senior Associate at JPMorgan Chase within the International Consumer Bank, you will play a crucial role in this initiative, dedicated to delivering an outstanding banking experience to our customers. You will work in a collaborative environment as part of a diverse, inclusive, and geographically distributed team. We are seeking individuals with a curious mindset and a keen interest in new technology. Our data management associates are naturally solution-oriented and possess an interest in the financial sector and focus on addressing our customer needs. We work in teams focused on specific banking functions and products, providing opportunities to build data pipelines and reporting capabilities for functional areas such as finance and business management, treasury operations, financial crime prevention, regulatory reporting and analytics. We collaborate with product teams such as card payments, electronic payments, lending, customer onboarding, core banking, and insurance to understand their product data models and deliver tailored data solutions that meet business needs.
Job responsibilities
- Partner with cross-functional teams to gather requirements, analyze data, deliver accurate reports and develop data-driven solutions that meet those needs.
- Apply domain modelling techniques to design and develop top-tier business products using industry best practices to ensure high data quality and minimize redundancy.
- Maintain data accuracy, integrity, and consistency across all data layers.
- Drive process improvements and automation initiatives to boost reporting efficiency and data quality.
- Collaborate with data engineers to streamline and enhance data reporting workflows through automation.
- Work with internal teams to resolve data issues and discrepancies in reporting.
- Communicate findings and insights to stakeholders using clear and effective visualizations and summaries.
- Assist product teams in extracting and analyzing data for functional testing and data investigations.
- Contribute to data governance and compliance efforts to ensure adherence to standards and regulations.
Required qualifications, capabilities and skills
- Experience in working with technical data formats (JSON / Avro / Parquet).
- Formal training or certification on data engineering concepts and applied experience.
- Recent hands-on professional experience in a reporting, data analysis or business intelligence role.
- Experience in database querying techniques and SQL.
- Understanding of how to manage and optimize queries for large volumes of data within different kinds of data stores (including relational data stores).
- Experience in designing and implementing effective tests (unit, component, integration, end-to-end, performance, etc.).
- Strong analytical and problem-solving skills.
- Experience in explaining and converting complex concepts into digestible information to be consumed by both technical and business stakeholders.
- Attention to detail and commitment to maintaining data quality.
Preferred qualifications, capabilities and skills
- Experience in working in a highly regulated environment / industry.
- Understanding of data warehousing concepts and ETL processes.
- Experience in data analysis using Python programming language.
- Understanding of data governance frameworks.
- Understanding of AWS cloud technologies.
Data Management Senior Associate in London employer: JPMorganChase
Contact Detail:
JPMorganChase Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Management Senior Associate in London
✨Tip Number 1
Network like a pro! Reach out to current employees at JP Morgan Chase on LinkedIn or through mutual connections. Ask them about their experiences and any tips they might have for landing the Data Management Senior Associate role.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can confidently discuss data formats like JSON and SQL querying techniques. We want you to shine when it comes to showcasing your expertise!
✨Tip Number 3
Showcase your problem-solving skills during interviews. Be ready to share examples of how you've tackled data issues in the past. This will demonstrate your analytical mindset and ability to deliver data-driven solutions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Management Senior Associate in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Management Senior Associate role. Highlight relevant experience and skills that match the job description, especially your data analysis and reporting capabilities.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data management and how your background aligns with our mission at JP Morgan Chase. Keep it concise but impactful.
Showcase Your Technical Skills: Since this role involves working with technical data formats and SQL, be sure to mention any relevant certifications or hands-on experience you have. We want to see your problem-solving skills in action!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team.
How to prepare for a job interview at JPMorganChase
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data management concepts, especially those mentioned in the job description like JSON, SQL, and data governance. Be ready to discuss how you've applied these in past roles, as this will show your technical expertise and relevance to the position.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data issues or improved reporting processes in previous jobs. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it easy for the interviewer to see your thought process and impact.
✨Communicate Clearly and Effectively
Since you'll be working with cross-functional teams, practice explaining technical concepts in simple terms. Think about how you can convey your findings and insights visually, as this is crucial for collaborating with stakeholders who may not have a technical background.
✨Demonstrate Your Curiosity and Adaptability
JP Morgan Chase values a curious mindset, so be prepared to discuss how you stay updated with new technologies and trends in data management. Share any recent learning experiences or projects that showcase your willingness to adapt and grow in the field.