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- Tasks: Lead product management for Bloomberg's Equity datasets and enhance user experience with BQL.
- Company: Join Bloomberg L.P., a leader in financial data and analytics, shaping the future of investment technology.
- Benefits: Enjoy competitive pay, flexible working options, and access to cutting-edge technology.
- Why this job: Be part of a passionate team driving innovation in finance and making a real impact on users' workflows.
- Qualifications: 5+ years in product management, strong equity domain knowledge, and proficiency in Python and Excel.
- Other info: Collaborate with cross-functional teams and stay ahead of industry trends to enhance user engagement.
The predicted salary is between 60000 - 84000 £ per year.
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.
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)
Quantitative Analytics Product Manager, Equity Content - CTO Office employer: Avature
Contact Detail:
Avature Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Analytics Product Manager, Equity Content - CTO Office
✨Tip Number 1
Familiarise yourself with Bloomberg's products and services, especially those related to equity content and BQL. Understanding how these tools work will help you articulate your insights during interviews.
✨Tip Number 2
Network with professionals in the quantitative analytics and product management fields. Attend industry events or webinars to connect with current employees at Bloomberg and gain insider knowledge about their culture and expectations.
✨Tip Number 3
Stay updated on the latest trends in financial data analytics and technology. Being able to discuss recent advancements or case studies can demonstrate your passion and expertise in the field during conversations with recruiters.
✨Tip Number 4
Prepare to discuss specific examples of how you've successfully managed complex projects in the past. Highlight your experience with cross-functional teams and how you’ve driven product strategy to meet user needs.
We think you need these skills to ace Quantitative Analytics Product Manager, Equity Content - CTO Office
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Quantitative Analytics Product Manager position. Tailor your application to highlight relevant experience in product management and equity content.
Highlight Relevant Experience: In your CV and cover letter, emphasise your 5+ years of product management experience, particularly in the equity domain. Provide specific examples of projects where you've successfully managed complex datasets or collaborated with cross-functional teams.
Showcase Technical Skills: Mention your proficiency in modern programming languages like Python and your experience with tools such as Excel. If you have knowledge of API design or system architecture, be sure to include that as well, as it aligns with the job's technical requirements.
Demonstrate User-Centric Approach: Illustrate your ability to understand user needs through past experiences. Discuss how you've conducted user research or gathered feedback to inform product strategy, ensuring that your application reflects a strong empathy for client challenges.
How to prepare for a job interview at Avature
✨Showcase Your Domain Expertise
Make sure to highlight your deep understanding of the Equity domain during the interview. Be prepared to discuss specific datasets and how they relate to client workflows, as this will demonstrate your capability to drive product strategy effectively.
✨Understand User Needs
Emphasise your experience in conducting user research. Share examples of how you've identified unmet needs and opportunities in previous roles, as this aligns with the company's focus on user-centric solutions.
✨Demonstrate Technical Knowledge
Brush up on your understanding of data architecture and technologies relevant to large datasets. Be ready to discuss how you would build performant solutions that scale, as this is crucial for the role.
✨Communicate Effectively
Strong communication skills are essential for this position. Practice articulating complex ideas clearly and concisely, especially when discussing cross-functional collaboration and stakeholder management.
