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- Tasks: Lead the strategy for FX data quality and enhance product offerings.
- Company: Bloomberg delivers powerful data and analytics to clients globally.
- Benefits: Enjoy a collaborative environment with opportunities for mentorship and professional growth.
- Why this job: Join a dynamic team impacting financial markets with innovative data solutions.
- Qualifications: 3+ years in financial services, especially in Foreign Exchange markets; strong data management skills required.
- Other info: Remote work options available; ideal for those passionate about data and finance.
The predicted salary is between 48000 - 72000 £ per year.
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We optimize the value of our data by combining our domain and technical expertise to make our data fit for the purposes of our clients' use cases. We apply analytics and modern data management techniques to identify innovative workflows and technology solutions to improve the management of our data.
Our Foreign Exchange (FX) Data team is seeking a Data Product Owner to help us drive the dataset forward. Bloomberg FX seeks to provide customers with transparency into OTC markets by generating in excess of 1 billion market-reflective, proprietary FX rates across tens of thousands of FX securities in more than 180 currency markets on a daily basis. Proprietary FX pricing is a foundational service and an integral part of many workflows for our internal and external clients including trade execution, asset valuation, risk management, back office operations, and benchmarking. With markets and instruments evolving at an ever-accelerating pace, we rely on data management expertise, multi-functional collaboration, deep domain knowledge, and thoughtful automation to continuously deliver high quality data to our growing client base.
As the Data Product Owner, you will help us improve and grow our offering of FX pricing and reference data. Using your deep market knowledge and understanding of our technical platforms and modern data management techniques, you will play a key role in designing and implementing strategies to enable expansion of and enhancements to our product offering as well as to facilitate seamless interoperability of our data with other Bloomberg data sets. You will be a thought leader for quality enhancements and work closely with various partners and stakeholders to integrate our solution into the wider architecture. You will join a distributed team of dedicated individuals and experts where your interests and passion will have a significant impact on our team's success.
We trust you to:
- Develop and drive a strategy for Bloomberg FX data quality across markets and security types.
- Liaise and collaborate with other stakeholders and downstream consumers where there are dependencies on our data.
- Contribute to the design and execution of data modeling strategies to enable discoverability of FX products and fields as well as seamless interoperability across data sets.
- Contribute to the design and the implementation of strict quality control processes to ensure the most complete, timely, and accurate data offering by applying your market knowledge and understanding of client use cases.
- Identify and close gaps in existing product offerings and expand to account for emerging client use cases.
- Communicate and contribute to the prioritization of business needs that guide the future direction of our dataset.
- Train and mentor other team members.
You will need to have:
- 3+ years of recent work experience in the financial services industry, focusing on Foreign Exchange markets.
- Strong understanding of market players' data needs and the strategic landscape within the global FX market.
- Demonstrated experience in data management, for example in improving data accuracy, completeness or timeliness.
- A proven track record of successful project management skills and ability to prioritize tasks accordingly.
- Proven track record of designing and implementing data-driven solutions in a high velocity, low latency environment.
- Comfort with a high degree of autonomy and shown ability in handling priorities from multiple internal and external partners.
- Demonstrable ability to take an analytical, data driven approach and apply critical thinking skills in order to tackle problems.
- Ability to optimally communicate and present concepts and methodologies to diverse audiences.
We'd love to see:
- Knowledge of SQL/Python querying language.
- Familiarity with Iceberg and Trino solutions.
- Knowledge of streaming technologies like Kafka.
- Experience in semantic structures or data modeling.
- Experience using data visualization tools such as Tableau, QlikSense or Splunk.
Senior Data Management Professional - Data Product Owner - Foreign Exchange Data | London, UK employer: Bloomberg
Contact Detail:
Bloomberg Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Management Professional - Data Product Owner - Foreign Exchange Data | London, UK
✨Tip Number 1
Familiarise yourself with the latest trends in Foreign Exchange markets. Understanding the current landscape and emerging technologies will help you speak confidently about how you can contribute to the team at Bloomberg.
✨Tip Number 2
Network with professionals in the financial services industry, especially those with experience in FX data management. Engaging with them can provide insights into the role and may even lead to referrals.
✨Tip Number 3
Brush up on your SQL and Python skills, as these are crucial for the role. Consider working on small projects or exercises that demonstrate your ability to handle data effectively.
✨Tip Number 4
Prepare to discuss specific examples of how you've improved data accuracy or implemented data-driven solutions in previous roles. This will showcase your relevant experience and problem-solving skills during interviews.
We think you need these skills to ace Senior Data Management Professional - Data Product Owner - Foreign Exchange Data | London, UK
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in the financial services industry, particularly focusing on Foreign Exchange markets. Emphasise your data management skills and any project management experience that aligns with the role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data management and how your background makes you a perfect fit for the Data Product Owner position. Mention specific examples of how you've improved data accuracy or implemented data-driven solutions in previous roles.
Showcase Technical Skills: If you have experience with SQL, Python, or data visualisation tools like Tableau, make sure to include this in your application. Highlight any familiarity with technologies mentioned in the job description, such as Iceberg, Trino, or Kafka.
Demonstrate Analytical Thinking: Use your application to showcase your analytical and critical thinking skills. Provide examples of how you've tackled complex problems in data management and how your approach led to successful outcomes.
How to prepare for a job interview at Bloomberg
✨Showcase Your Market Knowledge
Make sure to demonstrate your understanding of the Foreign Exchange market during the interview. Discuss recent trends, key players, and how they impact data needs. This will show that you are not only familiar with the industry but also passionate about it.
✨Highlight Data Management Experience
Prepare specific examples of how you've improved data accuracy, completeness, or timeliness in your previous roles. Be ready to discuss the strategies you implemented and the outcomes achieved, as this aligns closely with the responsibilities of the Data Product Owner.
✨Emphasise Project Management Skills
Since project management is crucial for this role, be prepared to talk about your experience managing multiple tasks and priorities. Share examples of how you successfully led projects, met deadlines, and collaborated with various stakeholders.
✨Demonstrate Analytical Thinking
The ability to apply critical thinking and an analytical approach is essential. Prepare to discuss how you've tackled complex problems in the past, using data-driven solutions. This will illustrate your capability to handle the challenges of the role effectively.
