Job Description

Product Manager - Quantitative Data Solutions
Location
London
Business Area
Product
Ref #
10050465

Description & Requirements

Our research data solutions will deliver the most compelling, innovative and comprehensive point in time data solution for quantitative and quantamental analysis in the capital markets industry. We are producing a suite of normalized and linked historical data products that include company fundamentals, consensus estimates, pricing, supply chain, granular segment level data, macroeconomic and alternative data into an outstanding data solution. We want an ambitious, creative and innovative SME that understands the systematic and quantitative workflow who can help us fashion this portfolio of products into something truly outstanding that will help us achieve our goal of becoming the industry leader in this space.

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 demonstrate Bloomberg's proprietary analytics and industry-leading research data. This requires an in-depth understanding of a research analyst's workflow. Key to this is understanding the multifaceted 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 outstanding data.

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

We will trust you to:

• Show domain expertise on research and alternative data, and how investment managers extract signals to build their edge
• Stay current on major research trends within the financial industry that continue to evolve and redefine traditional thinking and drive the many use cases for enterprise data
• Develop a deep understanding of our enterprise offering when it comes to our Research data 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 complete through collaboration with multiple partners including global data specialists, sales, engineers, and support organization
• Develop a positive 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 take on their challenges
• Display product management skills and effectively handle 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 solid 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 case for resources, improvements, and getting management agreement
• Self-motivated and driven by innovation and idea sharing
• The capability of encouraging relationships with new and existing clients as well building an internal network that champions collaboration and build on a strong culture of teamwork
• Bachelor's degree in statistics, mathematics, economics, business management, or other equivalent
• 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 indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role.
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