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For Companies At a Glance
- Tasks: Lead data architecture initiatives and collaborate with teams to enhance data products.
- Company: Join J.P. Morgan, a global leader in financial services.
- Benefits: Competitive salary, diverse culture, and opportunities for professional growth.
- Why this job: Make a significant impact on data solutions in a dynamic environment.
- Qualifications: Degree in Computer Science or related field; strong Python and data engineering skills.
- Other info: Be part of a diverse team that values innovation and collaboration.
The predicted salary is between 43200 - 72000 £ per year.
As a Lead Data Architect on the Markets Sales CDAO team in London, you will be responsible for defining data products and their attributes, analysing and restructuring existing data products, and ensuring high standards of data quality and accessibility while working in a dynamic environment. You will collaborate with both Sales users and technical and analytical teams. Your expertise will drive the success of our data initiatives, ensuring that data products meet customer needs and enable a variety of high priority analytics initiatives. If you have a strong background in data engineering, quality assurance, and a passion for innovation, we invite you to join our team and make a significant impact.
Job Responsibilities
- Collaborate closely with Quant Research and Technology on Sales data products design and strategy, delivering business value with data.
- Automate data quality monitoring and data lineage registration.
- Develop proof-of-concept data product prototypes.
- Translate data consumer requirements into actionable development tasks.
- Manage releases and track development timelines and milestones.
- Prioritize feature requests and drive resolution of data quality issues.
- Prioritize technology data tooling deliveries supporting Markets Sales.
- Help data consumers to use data products effectively.
- Promote reuse of data products.
- Ensure integration of Markets Sales data with other data and analytics platforms in the firm.
- Integrate strategic data management tools into producer and consumer workflows.
- Develop high-quality production code and review and debug code written by others.
- Execute creative data architecture solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions and break down technical problems.
- Lead data architecture communities of practice to drive awareness and use of modern data architecture technologies.
- Add to team culture of diversity, equity, inclusion, and respect.
Required Qualifications, Capabilities, And Skills
- Bachelor’s or master’s degree in Computer Science, Engineering, or related field.
- Excellent Python programming skills.
- Solid programming skills in data query languages and experience with relational and NoSQL databases.
- Proven experience as a Data Engineer or similar role.
- Experience with data/technology projects in the Financial Services sector.
- Proficiency in all aspects of the Software Development Life Cycle.
- Ability to build and optimize data sets and 'big data' pipelines.
- Strong communication skills and attention to detail.
- Ability to work collaboratively across multiple teams within the firm.
- Ability to evaluate current and emerging technologies to recommend the best data architecture solutions for the future state architecture.
Preferred Qualifications, Capabilities And Skills
- Understanding of financial markets data and experience with financial data platforms.
- Prior experience with data products design.
- Prior experience with Sell-side analytics platforms (Athena, SecDB, etc.).
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.
J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
Commercial Investment Bank - Lead Data Architect - Associate or Vice President in London employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Commercial Investment Bank - Lead Data Architect - Associate or Vice President in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Prepare for those interviews by practising common questions and scenarios related to data architecture. We recommend doing mock interviews with friends or using online platforms to get comfortable with your responses.
✨Tip Number 3
Showcase your skills through a portfolio! Create a GitHub repository or a personal website where you can display your projects and code samples. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨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, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Commercial Investment Bank - Lead Data Architect - Associate or Vice President in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead Data Architect role. Highlight your experience in data engineering and any relevant projects you've worked on, especially those in the Financial Services sector. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data architecture and how you can contribute to our team. Be sure to mention specific experiences that demonstrate your expertise in Python and data quality.
Showcase Your Projects: If you've developed any proof-of-concept data products or automated data quality monitoring, make sure to include these in your application. We love seeing real examples of your work and how you've tackled challenges in the past!
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 gives you a chance to explore more about our company culture and values.
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Data Inside Out
Make sure you have a solid understanding of data architecture principles and the specific data products relevant to the role. Brush up on your Python skills and be ready to discuss how you've used them in past projects, especially in the financial services sector.
✨Showcase Your Collaboration Skills
Since this role involves working closely with various teams, prepare examples that highlight your ability to collaborate effectively. Think about times when you’ve worked with both technical and non-technical stakeholders to deliver successful data solutions.
✨Prepare for Technical Questions
Expect to face technical questions related to data engineering and quality assurance. Be ready to explain your approach to automating data quality monitoring and how you’ve tackled data lineage registration in previous roles.
✨Demonstrate Your Problem-Solving Ability
This position requires creative thinking to solve complex data issues. Prepare to discuss specific challenges you've faced in data architecture and how you approached them. Highlight any innovative solutions you've implemented that made a significant impact.
