At a Glance
- Tasks: Lead the development of innovative data products for quantitative investment workflows.
- Company: Bloomberg, a leader in financial data and analytics.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Join a dynamic team in London with a focus on innovation and quality.
- Why this job: Shape the future of macro and commodity data while collaborating with top experts.
- Qualifications: Experience in product management and a strong understanding of data-driven solutions.
The predicted salary is between 61385 - 75026 £ per year.
Bloomberg is building a new Macro and Commodity Research Data portfolio in London and seeks an experienced Product Manager to own end-to-end development, requirements, and delivery for data products used in quantitative investment workflows. You will collaborate with researchers, data scientists, engineers and sales to translate client needs into clear specifications, shape product strategy, and drive adoption with a focus on data quality, APIs, cloud delivery and interoperability.
Product Manager – Macro & Commodity Data in London employer: Bloomberg
Bloomberg is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. With a strong emphasis on employee growth, you will have access to numerous professional development opportunities while working in a cutting-edge environment that values your contributions to the data manufacturing infrastructure. Located in a vibrant city, Bloomberg provides unique advantages such as a diverse workforce and a commitment to work-life balance, making it a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Product Manager – Macro & Commodity Data in London
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We think you need these skills to ace Product Manager – Macro & Commodity Data in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Bloomberg. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Bloomberg
✨Brush Up on Your Statistics
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
