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- Tasks: Collaborate with teams to analyse data and develop innovative, data-driven solutions.
- 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 innovation and data governance.
- Why this job: Make a real impact in the future of banking with cutting-edge technology.
- Qualifications: Experience in data analysis, SQL, and a passion for problem-solving.
The predicted salary is between 50000 - 60000 £ 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.
- 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.
- 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 employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Management Senior Associate
✨Tip Number 1
Network like a pro! Reach out to current employees at JP Morgan Chase on LinkedIn. Ask them about their experiences and any tips they might have for landing the Data Management Senior Associate role. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can confidently discuss data formats like JSON, Avro, and Parquet. We want to see that you're not just familiar with these concepts but can also apply them in real-world scenarios.
✨Tip Number 3
Show off your problem-solving skills! Be ready to tackle some case studies or hypothetical scenarios during the interview. Think about how you would approach data issues or discrepancies, and be prepared to share your thought process.
✨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 at JP Morgan Chase.
We think you need these skills to ace Data Management Senior Associate
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Management Senior Associate role. Highlight your experience with data formats like JSON or SQL, and don’t forget to mention any relevant projects that showcase your problem-solving skills.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about joining JP Morgan Chase and how your background aligns with their mission of transforming digital banking. Keep it concise but impactful!
Showcase Your Analytical Skills: In your application, emphasise your analytical abilities and experience in data analysis. Mention specific tools or techniques you've used, especially if they relate to the financial sector. This will show us you’re ready to tackle the challenges of the role.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of being noticed. It’s straightforward and ensures your application goes straight to the right team. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Data Formats
Make sure you brush up on technical data formats like JSON, Avro, and Parquet. Be ready to discuss how you've used these in past roles, as this will show your familiarity with the tools that JP Morgan Chase values.
✨Showcase Your Analytical Skills
Prepare to demonstrate your analytical and problem-solving skills. Think of specific examples where you've tackled complex data issues or improved reporting efficiency, as this aligns perfectly with the role's requirements.
✨Understand the Business Context
Familiarise yourself with the financial sector and JP Morgan Chase's products. Being able to connect your data management experience to their banking functions will help you stand out as a candidate who understands their mission.
✨Communicate Clearly
Practice explaining complex data concepts in simple terms. You’ll need to communicate findings to both technical and non-technical stakeholders, so being able to convey your insights clearly is crucial for success in this role.