Quantitative Research - Data Product Owner - Credit - Executive Director
Quantitative Research - Data Product Owner - Credit - Executive Director

Quantitative Research - Data Product Owner - Credit - Executive Director

London Full-Time 144000 - 168000 ÂŁ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead the development of data products and ensure high standards of quality and accessibility.
  • Company: J.P. Morgan is a global leader in financial services, serving prominent corporations and institutions.
  • Benefits: Enjoy competitive salary, diverse work culture, and opportunities for professional growth.
  • Why this job: Make a significant impact in data management while collaborating with top professionals in finance.
  • Qualifications: Master’s or Ph.D. in relevant fields with 10+ years of experience in financial data analysis.
  • Other info: Join a diverse team committed to inclusion and equal opportunity.

The predicted salary is between 144000 - 168000 ÂŁ per year.

Overview

Are you passionate about data management and eager to drive the success of data initiatives? Join us as a Data Product Owner 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 for the Quantitative 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

  • Master’s or Ph.D. degree in Math, Physics, Computer Science, Engineering, Data Engineering, or related field.
  • 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

  • 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.

About Us

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. Visit our FAQs for more information about requesting an accommodation.

About The Team

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.

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Quantitative Research - Data Product Owner - Credit - Executive Director employer: JPMorganChase

J.P. Morgan is an exceptional employer, offering a dynamic work environment in London where innovation and collaboration thrive. As a leader in financial services, we prioritise employee growth through comprehensive training and development opportunities, fostering a culture of diversity and inclusion. Join us to make a significant impact in the financial sector while enjoying competitive compensation and a commitment to work-life balance.
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Contact Detail:

JPMorganChase Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Quantitative Research - Data Product Owner - Credit - Executive Director

✨Tip Number 1

Network with professionals in the financial services sector, especially those who have experience as Data Product Owners. Attend industry events or webinars to connect with potential colleagues and learn about the latest trends in data management.

✨Tip Number 2

Familiarise yourself with the specific data products and tools used at JPMorganChase. Understanding their existing systems and methodologies will help you demonstrate your knowledge during interviews and show that you're ready to hit the ground running.

✨Tip Number 3

Prepare to discuss your experience with data quality metrics and validation processes. Be ready to provide examples of how you've successfully managed data initiatives in the past, as this will be crucial for the role.

✨Tip Number 4

Brush up on your programming skills, particularly in Python and data querying languages. Being able to showcase your technical abilities will set you apart from other candidates and align with the requirements of the position.

We think you need these skills to ace Quantitative Research - Data Product Owner - Credit - Executive Director

Data Management
Financial Engineering
Data Analysis
Programming Skills in Python
Data Querying Languages
Relational and NoSQL Databases
Cloud Services (AWS, Azure, GCP)
Data Quality Metrics Definition
Metadata Registration
Testing and Validation of Data Products
Collaboration Across Teams
Consumer Training
Feature Request Prioritisation
Attention to Detail
Strong Communication Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in data management, financial engineering, and programming skills. Emphasise your hands-on experience with financial products and any previous roles as a Data Product Owner.

Craft a Compelling Cover Letter: In your cover letter, express your passion for data initiatives and how your background aligns with the responsibilities of the role. Mention specific examples of how you've driven data quality and accessibility in past positions.

Highlight Technical Skills: Clearly outline your technical skills, especially in Python and data querying languages. Include any experience with relational and NoSQL databases, as well as cloud services like AWS or Azure, to demonstrate your capability in handling complex data sets.

Showcase Collaboration Experience: Since the role involves working closely with various teams, provide examples of successful collaborations in your application. Highlight how you translated technical concepts for non-technical stakeholders and managed development timelines effectively.

How to prepare for a job interview at JPMorganChase

✨Showcase Your Data Expertise

Make sure to highlight your experience with data management and analysis, especially in financial contexts. Be prepared to discuss specific projects where you've successfully implemented data products or improved data quality.

✨Understand the Role of a Data Product Owner

Familiarise yourself with the responsibilities of a Data Product Owner, particularly in the context of quantitative research. Be ready to explain how you would bridge the gap between technical teams and end users, translating complex requirements into actionable tasks.

✨Demonstrate Strong Communication Skills

Since this role requires collaboration across multiple teams, practice articulating technical concepts clearly. Prepare examples of how you've effectively communicated with non-technical stakeholders in the past.

✨Prepare for Technical Questions

Expect questions related to programming skills, particularly in Python, and your experience with data querying languages. Brush up on your knowledge of relational and NoSQL databases, as well as cloud services like AWS, Azure, or GCP.

Quantitative Research - Data Product Owner - Credit - Executive Director
JPMorganChase
Location: London

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