At a Glance
- Tasks: Lead the development of data products for Quantitative Trading & Research in Credit.
- Company: Join a leading financial services firm that values diversity and innovation.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on career advancement and diversity.
- Why this job: Make an impact by bridging technology and trading with cutting-edge data solutions.
- Qualifications: Experience in financial engineering, data analysis, and strong programming skills required.
The predicted salary is between 80000 - 120000 £ per year.
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.
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.
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.
Quantitative Trading & Research - Data Product Owner/Manager - Credit - Executive Director in London employer: Fairygodboss
As an Executive Director Data Product Owner/Manager at our firm, you will thrive in a dynamic and inclusive work environment that values collaboration and innovation. We offer competitive benefits, opportunities for professional growth, and a commitment to diversity, ensuring that every employee can contribute meaningfully to our success. Located in a vibrant financial hub, you will have access to cutting-edge resources and a network of industry experts, making this an exceptional place to advance your career in quantitative trading and research.
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 your connections in the finance and data sectors. Attend industry events or webinars where you can meet potential employers and showcase your expertise in quantitative trading and data management.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with Python, data analysis, and financial products. We recommend practising common interview questions related to data product ownership and management.
✨Tip Number 3
Showcase your problem-solving skills! During interviews, share specific examples of how you've tackled data quality issues or improved data products in the past. This will demonstrate your ability to drive results in a fast-paced environment.
✨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 and genuinely interested in joining our team.
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 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Data Product Owner/Manager. Highlight your experience with financial data products and any relevant programming skills, especially in Python. We want to see how your background aligns 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 quantitative trading and how your skills can drive our data initiatives. Be sure to mention specific experiences that relate to the job description.
Showcase Your Collaboration Skills:Since this role involves working closely with various teams, emphasise your ability to collaborate effectively. Share examples of past projects where you acted as a bridge between technical teams and end users, just like we do at StudySmarter!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Fairygodboss
✨Know Your Data Inside Out
As a Data Product Owner/Manager, you need to be well-versed in the data products you'll be managing. Brush up on your knowledge of financial engineering and data analysis, especially in Bonds and Loans. Be prepared to discuss specific examples of how you've defined data attributes and ensured data quality in your previous roles.
✨Showcase Your Collaboration Skills
This role requires close collaboration with various teams, so highlight your experience working with traders and technical teams. Prepare anecdotes that demonstrate your ability to translate complex technical concepts into actionable tasks for non-technical stakeholders. This will show that you can bridge the gap between different teams effectively.
✨Demonstrate Your Technical Proficiency
Make sure you're ready to talk about your programming skills, particularly in Python and data querying languages. Be prepared to discuss your experience with relational and NoSQL databases, as well as any cloud services like AWS or Azure. You might even want to bring up a project where you analysed complex data sets to showcase your hands-on experience.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities, especially regarding data quality issues and feature prioritisation. Think of scenarios where you've had to manage development timelines or resolve conflicts between consumer needs and technical limitations. Practising these scenarios will help you articulate your thought process during the interview.
