Quantitative Analytics Product Manager, Equity Content - CTO Office
Location
London
Business Area
Engineering and CTO
Ref #
10044254
Description & Requirements
Who we are:
The Bloomberg CTO Office is the future-looking technical and product arm of Bloomberg L.P. We envision, design and prototype the next generation infrastructure, hardware, applications and APIs that interface in all aspects of the company including financial products, broadcast and media, data centers, internal IT and our global network. We are passionate about what we do.
What we do:
Our clients are using increasingly more data in their investment processes and are becoming more quantitative in nature. They are using new tools and techniques to drive investment and trading decisions, analyze their portfolio, gauge risk and more. This shift is occurring for all types of users - Bloomberg Terminal users, clients who use Excel, and Quant users who use data science platforms such as BQuant. Clients are looking to perform workflows that were previously not possible, which tend to be more data and compute intensive.
We created the Bloomberg Query Language (BQL) for these users and use cases. Legacy data delivery mechanisms (APIs) require clients to download massive volumes of data and perform their custom analysis on their desktops. BQL is a step-change in functionality – clients can ask questions of our content and receive answers quickly and accurately without the need to download, manage and maintain the raw data.
BQL combines the best of open-source technologies and the world’s leading financial database and analytics service. You will enable our users to manipulate more data, more quickly and more intuitively by leveraging your knowledge of financial data and analytics workflows.
We are seeking a passionate and driven Product Manager to join our team focused on onboarding Bloomberg’s vast datasets in the Equity domain, including Core Equity content such as Reference Data & Classifications, Company Financials, Public and Private Funds Datasets, Equity Derivatives, Alternative Data and more. In this role we expect the individual to have extremely strong product management skills, domain knowledge and collaboration skills in order to effectively execute our strategy of making available all of Bloomberg’s Equity and Equity-related content into BQL
We’ll trust you to:
- Have Deep Subject Matter Expertise within the Equity domain, including content sets and client workflow
- Deeply Understand User Needs: Conduct thorough user research, leveraging internal subject-matter experts, client interviews, and data analysis to identify unmet needs and opportunities with our clients
- Drive Product Strategy: Articulate and execute a clear strategic vision to fulfill our objective to ensure all structured content is available in BQL, ensuring alignment with Bloomberg's overall product strategy and business objectives
- Understand Data Architecture & Technologies: Given the size and types of some of these datasets, a good understanding of technical architecture is expected to be able to build solutions which are performant and scale to service all of our clients and client types
- Align Cross-functional Teams: Work closely with UX, Engineering and other Product teams to translate user needs into detailed product specifications and prioritize development efforts. Build consensus with multiple teams across Product, CTO, Data, and Engineering towards user-centric, multi-faceted solutions
- Monitor and Analyze Performance: Track key performance indicators (KPIs) related to product adoption, user engagement, and client satisfaction to measure the success and identify areas for improvement
- Stay Ahead of the Curve: Continuously monitor advancements with our integrated platforms (eg Excel, Jupyter and more) to identify new opportunities to drive user engagement and satisfaction
You’ll need to have:
- 5+ years of product management experience, demonstrating strong execution capabilities
- Strong understanding of our clients’ workflows, especially within the Equity domain
- Practical experience with modern languages like Python. Experienced with Excel
- Ability to manage large, complex projects with multiple stakeholders and dependencies
- Excellent communication, interpersonal and stakeholder management skills
- A willingness to explore new concepts and continuous learning
- High degree of empathy with our clients and their challenges
We’d love to see:
- Technical proficiency (eg understanding of API design, system architecture)
- Knowledge of at least one non-trivial financial dataset, concepts and its manipulation (eg point-in-time fundamentals, derivatives, capital structure)
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