Bloomberg's Enterprise Data business continues to be a market leader when it comes to providing enterprise content for the financial services industry. Our offering includes best-in-class enterprise data and data delivery via a fully managed platform. Our committed customer base appreciates the quality of our content, completeness of our coverage, data delivery, technology, tools, and high-touch client service model

Environmental, Social, and Governance (ESG) Data Product Manager:

Our sustainable finance data solutions complement our award-winning reference, pricing, and regulatory data products in bringing together a complete product suite that creates a compelling value proposition to research analysts across traditional fundamental analysis as well as quantitative and quantamental research. This business is core to our growth strategy across Enterprise Data, and our ambition is to continue servicing the most complex demands and challenges of our clients so that they can keep innovating and delivering value to their clients.

Our team is responsible for identifying, creating, and designing data solutions that leverage Bloomberg's proprietary analytics and industry-leading sustainability data. This requires an in-depth understanding of environmental, social, and governance (ESG) data and familiarity with key sustainability topics, such as climate change. Key to this is understanding the multi-dimensional challenges our clients are trying to solve and making sure that we remain their trusted partner as they work with us to build solutions driven by best-in-class data.

We are looking for an experienced data professional who understands the multiple use cases for ESG enterprise content including quantitative and quantamental research across multiple investment and risk management strategies.

We will trust you to:

• Show domain expertise on key ESG drivers behind company performance and the types of ESG data firms are using, and how they are linking these datasets together to create an edge in an increasingly competitive market
• Stay current on major sustainability trends within the financial industry that continue to evolve and disrupt traditional thinking and drive the many use cases for enterprise data
• Develop a deep understanding of our enterprise offering when it comes to our ESG content as well as the accessibility, usability, quality, tools, and services available to clients that allow them to deepen their interaction and usage of our content
• Set, track, and review metrics for desired product outcomes and clearly communicate product vision, roadmap, and development status and execute through collaboration with multiple stakeholders including global data specialists, sales, engineers, and support organization
• Develop a strong relationship with a core group of clients that will partner with us to expand our understanding of their key challenges and evolve our offering through ongoing dialogue and experimentation to systematically solve their challenges
• Display product management skills and effectively manage data product specification, prioritization, and backlog by continually addressing business needs through an agile process
• Understand data science techniques and platforms that our clients are either building or leveraging to extract value from big data
• Demonstrate strong problem-solving, analytical, and technical skills through proficiency in Python or similar programming languages typically used in data science and data engineering

You will need to have:

• A minimum of 5 years’ experience as a Product Manager or related role
• A strong understanding of capital markets, preferably in a broad range of asset classes
• Familiarity with data science and quantitative investing processes
• Basic proficiency in Python, R, or other programming languages typically used in data science, greater proficiency is highly valued
• Problem solving skills to deconstruct client problems with a data driven approach when making a business case for resources, enhancements, and getting management buy-in
• Self-motivated and driven by innovation and idea sharing
• The capability of fostering relationships with new and existing clients as well building an internal network that fosters collaboration and build on a strong culture of teamwork
• Bachelor's degree in statistics, mathematics, economics, business management, or other related field CFA or equivalent preferred

*Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role.

If this sounds like you:

Apply if you think we're a good match! We'll get in touch with you to let you know what the next steps are.
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