Bloomberg
Product Manager - Quant Analytics & Data Solutions - CTO Office
Bloomberg, New York, New York, us, 10261
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 classes3+ 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 APIsDeep 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 financeAn advanced degree in a STEM subject or Economics / FinanceFamiliarity with Bloomberg products including the Bloomberg Terminal and Enterprise productsExperience with public cloud providers such as AWS or AzureBloomberg 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 amer_recruit@bloomberg.net.
Salary Range: 140,000 - 295,000 USD Annually + Benefits + BonusThe referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation [Exempt roles only], paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
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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 classes3+ 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 APIsDeep 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 financeAn advanced degree in a STEM subject or Economics / FinanceFamiliarity with Bloomberg products including the Bloomberg Terminal and Enterprise productsExperience with public cloud providers such as AWS or AzureBloomberg 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 amer_recruit@bloomberg.net.
Salary Range: 140,000 - 295,000 USD Annually + Benefits + BonusThe referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation [Exempt roles only], paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
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