Product Manager - Quant Risk Workflows - CTO Office

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.

BQuant is Bloomberg’s new cloud-hosted quantitative investment research platform built on JupyterLab that is designed specifically for financial markets. We are looking for an experienced professional with a background in designing and delivering products for quant risk workflows 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.  

The BQuant platform seeks to democratize the best practices in quantitative analysis, and bring quant tools to the larger audience of Bloomberg users. Our team is exploring future-looking technology that combines cutting-edge Machine Learning (ML) and quant techniques with financial domain expertise to empower clients to perform collaborative quant research and deploy production workflows integrated with our deep stack of enterprise products. BQuant enables clients to rapidly accelerate their research to production cycle to achieve an edge in the market.

You will be responsible for identifying target markets and client workflows that can be solved using Bloomberg's Quant Platform (BQuant). Your initial objective will be to validate client workflows and to work with our Engineering, UX, and Product teams to design and deliver products that address quantitative risk workflows. 

When designing workflow solutions, you will be able to leverage Bloomberg's enterprise data and services including our portfolio analytics (e.g. PORT), derivatives pricing engines (e.g. MARS), and order management capabilities (e.g. AIM, EMSX, etc.). Examples of risk workflows that you could work on that use Bloomberg's Quant Platform, Data, and Services (e.g. PORT, MARS, etc.) include:

• Portfolio Construction and Risk Management
• Scenario Shocks and Hedge Construction
• Risk Model Analytics and Portfolio Optimization
• Derivatives Structuring and Pricing

• Drive the design and delivery of end-to-end products that are built on the Bloomberg Quant Platform and Bloomberg's Data and Services.
• Collaborate with clients and senior stakeholders internally across numerous Bloomberg teams to deliver targeted workflow solutions to a range of client personas including quant researchers, risk managers, trading compliance departments, and regulatory reporting teams.
• Be a company thought leader on quant workflows from trading strategy ideation to implementation to post-trade risk and portfolio management.
• Own the roadmap and backlog, taking into account customer input, product strategy, competitor analysis and best practices
• Perform market analysis of trends that could impact strategy, roadmap, or positioning. 

• 5+ years in a quantitative research, portfolio construction, trading research, or risk management role ideally across multiple asset classes.
• 3+ years of product management experience. 
• Deep domain expertise in portfolio construction, optimization, and risk management
• Broad experience in quantitative strategy research and implementation spanning the entire workflow from idea generation to trade execution to post trade risk management.
• Ability to effectively communicate and collaborate with Engineers, UX, Data Scientists, Product Managers and Senior Executives.
• Prior experience in driving initiatives from ideation to delivery by collaborating with engineering teams and quant developers and researchers.

• Passion about product development with Bloomberg technology.
• Familiarity with risk models including the PORT MAC3 risk model, etc
• Derivatives structuring knowledge across several asset classes 
• An advanced degree Masters/PhD in a STEM subject or Economics/Finance.
• Prior experience building quantitative products at a Tier 1 buy or sell side firm.
• Strong technical understanding of the tech stack (cloud/enterprise infrastructure, RESTful APIs, etc.).
• Experience with the management and usage of multi-asset, alternative and proprietary data in finance.
• Deep knowledge of use cases across buy and sell side, asset classes, and different trading strategies.

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 amer_recruit@bloomberg.net.