At a Glance
- Tasks: Lead product strategy and execution for innovative data solutions in quantitative finance.
- Company: Join Bloomberg's CTO Office, a hub for cutting-edge technology and product development.
- Benefits: Enjoy a global team environment with opportunities for remote work and diverse corporate perks.
- Why this job: Be part of a dynamic team shaping the future of financial analytics and data solutions.
- Qualifications: 7+ years in quantitative research and 3+ years in product management required.
- Other info: Bloomberg values diversity and is committed to inclusive hiring practices.
The predicted salary is between 43200 - 72000 £ per year.
Who we are / the team: Bloomberg's CTO Office is the future-looking technical and product arm of Bloomberg L.P. We envision, design, and prototype the next generation infrastructure, hardware, and applications for the Bloomberg Terminal. Our projects include machine learning-powered products, cloud computing infrastructure and strategy, open source stewardship, natural language processing, and more. We are passionate about what we do. At Bloomberg, we have the richest and most comprehensive financial datasets and analytics in the world. Our powerful enterprise products serve a large and diverse client base from data intensive analytics to trading. The Bloomberg Quant Platform (BQuant) is the frontier of our work - a platform for quantitative finance professionals to rapidly analyze data and research trading strategies.
What's in it for you: We are looking for an experienced professional with a background in designing and delivering products for large scale data and quant analytics to help us create an industry leading solution. This is a unique opportunity to join a cross-functional team with Product, Engineering, Quant, CTO, and Client teams. The team is global, located in London, New York and San Francisco. We are expanding the team, along with similar hiring in our Engineering department, to accelerate the range of products and use cases we support within BQuant.
Your role: As a product manager, you will be responsible for identifying target markets, challenges worth solving, and how to solve them, as well as executing upon that strategy. Examples of areas you could be working on include:
- Data solutions to help customers discover, access and manage data to drive quantitative research, analytics and application building in BQuant.
- Liaison with our data-producing teams at Bloomberg to onboard new content, ensure data quality, design and deliver turnkey data access.
- Quant analytics libraries for users of BQuant and the rest of our team who are creating specific workflow solutions on top such as natural language processing (NLP), backtesting, trading systems integration etc.
- Product ownership of revenue generating BQuant offerings ranging from core solutions for equity, fixed income, and macro quants to advanced solutions including Intraday Analytics and Textual Analytics.
We'll trust you to: Formulate the vision and execution strategy for your product area. Drive the design and delivery of end-to-end products that are built on the Bloomberg Quant Platform and Bloomberg's Data and Services. Own the roadmap and backlog, taking into account external and internal customer input, product strategy, value propositions, competitor analysis and operational requirements. Be a company thought leader on data and quant workflows from trading strategy ideation to portfolio construction and management to trading and implementation.
You’ll need to have:
- 7+ years in quantitative research, portfolio management, or execution research ideally across multiple asset classes
- 3+ years of product management or equivalent experience within a leading financial institution or financial technology provider designing and delivering quantitative products including Python libraries and APIs
- Deep knowledge of use cases across buy side and sell side, asset classes, and different trading strategies.
- Ability to effectively communicate and collaborate with engineers, UX, data scientists, and senior management.
We'd love to see:
- Experience with the management and usage of multi-asset, alternative and proprietary data in finance
- An advanced degree in a STEM subject or Economics / Finance
- Familiarity with Bloomberg products including the Bloomberg Terminal and Enterprise products
- Experience with public cloud providers such as AWS or Azure
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email.
Product Manager - Quant Analytics & Data Solutions - CTO Office employer: Nuvance Health
Contact Detail:
Nuvance Health Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Manager - Quant Analytics & Data Solutions - CTO Office
✨Tip Number 1
Familiarise yourself with Bloomberg's products, especially the Bloomberg Terminal and BQuant. Understanding how these tools work and their applications in quantitative finance will give you a significant edge during interviews.
✨Tip Number 2
Network with professionals in the financial technology sector, particularly those who have experience in product management or quantitative analytics. Engaging with industry experts can provide insights into the role and may even lead to referrals.
✨Tip Number 3
Stay updated on the latest trends in quantitative research and data analytics. Being knowledgeable about emerging technologies and methodologies will demonstrate your passion and commitment to the field during discussions.
✨Tip Number 4
Prepare to discuss specific examples of your past experiences in product management and quantitative analysis. Highlighting your achievements and how they relate to the responsibilities outlined in the job description will make you a standout candidate.
We think you need these skills to ace Product Manager - Quant Analytics & Data Solutions - CTO Office
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Product Manager position. Familiarise yourself with Bloomberg's Quant Platform and the specific challenges they aim to solve.
Tailor Your CV: Highlight your relevant experience in quantitative research, product management, and any familiarity with financial technology. Make sure to include specific examples of products you've designed or delivered that relate to data analytics.
Craft a Compelling Cover Letter: Use your cover letter to express your passion for data solutions and quantitative finance. Discuss how your background aligns with the role and how you can contribute to the team’s vision and execution strategy.
Showcase Your Technical Skills: If you have experience with Python libraries, APIs, or cloud providers like AWS or Azure, be sure to mention these skills. Provide examples of how you've used these technologies in previous roles to enhance your application.
How to prepare for a job interview at Nuvance Health
✨Understand the Product Landscape
Familiarise yourself with Bloomberg's products, especially the Bloomberg Quant Platform (BQuant). Be prepared to discuss how your experience aligns with their offerings and how you can contribute to enhancing their data solutions.
✨Showcase Your Quantitative Expertise
Highlight your background in quantitative research and portfolio management. Be ready to provide examples of how you've successfully designed and delivered quantitative products, particularly using Python libraries and APIs.
✨Communicate Effectively
Demonstrate your ability to communicate complex ideas clearly. Since the role involves collaboration with engineers, UX designers, and senior management, practice articulating your thoughts on data workflows and product strategies.
✨Prepare for Technical Questions
Expect technical questions related to data management, analytics, and cloud computing. Brush up on your knowledge of public cloud providers like AWS or Azure, and be ready to discuss how these technologies can enhance financial data solutions.