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- Tasks: Lead the development of data products and ensure high standards of quality and accessibility.
- Company: Join a dynamic team in a leading financial services firm focused on data management.
- Benefits: Competitive salary, professional growth opportunities, and a collaborative work environment.
- Other info: Collaborate with diverse teams and enjoy a fast-paced, innovative workplace.
- Why this job: Make a significant impact by driving data initiatives that support trading and research.
- Qualifications: Experience in financial engineering, data analysis, and strong programming skills required.
The predicted salary is between 100000 - 150000 £ per year.
Are you passionate about data management and eager to drive the success of data initiatives? Join us as a Data Product Owner/Manager to lead the development and delivery of data products that meet the needs of both internal and external consumers. Ensure high standards of data quality and accessibility while working in a dynamic environment.
As an Executive Director Data Product Owner/Manager for the Quantitative Trading & Research Credit team, you will be responsible for defining data products and their attributes, registering metadata, and ensuring rigorous testing and validation. You will collaborate with traders and data consumers to establish data quality metrics and automate monitoring. You will act as a bridge between technical teams and end users, translating requirements into actionable tasks and managing development timelines. Your role will prioritize feature requests, resolve data quality issues, and promote the reuse of data products.
You will maintain SLAs for data products, provide user training, and ensure seamless integration between technology and end users. Your expertise will drive the success of our data initiatives, ensuring that data products meet consumer needs and maintain high quality standards. If you have a proven track record in data management, we invite you to join our team and make a significant impact.
Job Responsibilities:
- Collaborate closely with Quant Research and Technology on Financial Data Products design and strategy, delivering business value with Data to Credit Trading business.
- Act as the business’s official Data Producer for delivering domain-specific Data Products.
- Define data attribute requirements and map data lineage for each Data Product.
- Perform testing and validation of technical implementations and sign-off.
- Register metadata in the catalog and ensure its evergreen status.
- Define critical data elements, data quality metrics, and alerting thresholds.
- Maintain SLAs for data quality and timeliness to meet consumer needs.
- Provide consumer training and promote the reuse of Data Products.
- Translate consumer requirements into actionable development tasks.
- Manage releases and track development timelines and milestones.
- Prioritize feature requests and drive resolution of data quality issues.
Required Qualifications, Capabilities, and Skills:
- Strong track record and hands-on experience with financial engineering and data analysis in Bonds, Loans and other Credit products.
- Extensive relevant experience with exposure to Markets data or financial services.
- Solid programming skills in Python, data querying languages and experience with relational and NoSQL databases.
- Experience analyzing complex data sets on prem and in cloud services like AWS, Azure, or GCP.
- Strong communication skills and attention to detail.
- Ability to translate technical concepts for Sales & Trading colleagues.
- Ability to work collaboratively across multiple teams within the firm.
Preferred Qualifications, Capabilities, and Skills:
- Master’s or higher degree in Math, Physics, Computer Science, Engineering, Data Engineering, or related field.
- Understanding of financial market data and experience with financial data platforms.
- Experience as an end-user of data feeds to contribute to Data Product design.
- Prior experience as a Data Product Owner/Manager.
Quantitative Trading & Research - Data Product Owner/Manager - Credit - Executive Director in London employer: JPMorganChase
Contact Detail:
JPMorganChase Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Trading & Research - Data Product Owner/Manager - Credit - Executive Director in London
✨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 refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to data management and product ownership. We recommend doing mock interviews with friends or using online platforms to get comfortable with your responses.
✨Tip Number 3
Showcase your skills through projects or case studies. If you've worked on relevant data products or analyses, be ready to discuss them in detail. This will demonstrate your hands-on experience and passion for the role.
✨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 proactive about their job search!
We think you need these skills to ace Quantitative Trading & Research - Data Product Owner/Manager - Credit - Executive Director in London
Some tips for your application 🫡
Show Your Passion for Data: Make sure to express your enthusiasm for data management in your application. We want to see that you're not just looking for a job, but that you're genuinely excited about driving data initiatives and making an impact.
Tailor Your Application: Take the time to customise your CV and cover letter to highlight your relevant experience in financial engineering and data analysis. We love seeing how your skills align with our needs, so don’t hold back!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your key achievements and skills stand out without unnecessary fluff.
Apply Through Our Website: Don’t forget 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. We can’t wait to hear from you!
How to prepare for a job interview at JPMorganChase
✨Know Your Data Inside Out
Make sure you have a solid understanding of the data products relevant to the role. Brush up on your knowledge of financial engineering, especially in Bonds and Loans. Being able to discuss specific data attributes and quality metrics will show that you're not just familiar with the concepts but can also apply them.
✨Showcase Your Technical Skills
Be prepared to demonstrate your programming skills, particularly in Python and data querying languages. You might be asked to solve a problem or explain how you would approach a data analysis task. Practising coding challenges or discussing past projects can help you shine in this area.
✨Communicate Clearly and Effectively
Since you'll be acting as a bridge between technical teams and end users, it's crucial to articulate complex technical concepts in a way that's easy to understand. Prepare examples of how you've successfully communicated with non-technical stakeholders in the past, as this will highlight your ability to collaborate across teams.
✨Prepare for Scenario-Based Questions
Expect questions that ask how you would handle specific situations, like resolving data quality issues or prioritising feature requests. Think through your past experiences and be ready to share how you approached similar challenges, focusing on the outcomes and what you learned from them.