The quant approach to investing on the rise, again. This time round, the adoption of quant techniques, to find and bring investment ideas to market, is no longer the domain of the most sophisticated Hedge Funds. Big asset managers are also introducing these techniques to complement more traditional processes. This is an interesting time in finance, with more data available, more computing power, and advanced techniques becoming accessible and familiar to a new generation of investor. You can join us at the forefront of this trend, by helping design and build the quant platform of choice.

Our platform combines the best of open-source technologies, and the world’s leading financial database and analytics service. As a Quant Product Manager you will leverage your knowledge of client workflow, data and quant modelling to create end to end solutions for Quants, Data Scientists and Developers.

This is a unique opportunity to join a dynamic and collaborative group of people that work closely with the CTO office, Engineering, Quant and Client teams, on an exciting and high profile project. The team is located in London, NY and San Francisco.

We’ll trust you to:

• Drive the Quant product lifecycle, focusing on required analytics, APIs, and workflow tools.
• Articulate a clear strategic vision for the product, help with strategic planning, execution and implementation
• Meet with clients and partner with Product Managers across Bloomberg to help specify requirements for a cohesive product
• Work closely with Engineering to execute on product development, as well as Client Teams to drive adoption
• Evangelize Bloomberg quant solutions and help grow the community

You’ll need to have:

• Deep understanding of the Quant workflow especially as it relates to idea generation and implementation, such as factor research, backtesting, and portfolio construction
• 5+ years of practical experience with modern languages like Python, R, and environments such as Jupyter. Ideally gained through experience at a financial institution.
• Practical application of Machine Learning to solving problems in the financial domain
• Bachelor's or advanced (Masters/PhD) degree in Computer Science, Data Science, Mathematics or similar disciplines, or relevant / equivalent practical experience
• Ability to effectively communicate with Quants about the Bloomberg Quant offering and their specific requirements
• Ability to communicate complex information to a wide range of audience both in verbal and written form
• Location preference NYC but successful candidate must be willing to travel (8-12 weeks/yr)

We’d love to see:

• Hands-on experience building technology to support Quant workflows
• Experience with implementation of enterprise solutions using public/private clouds

If this sounds like you:

Apply if you think we're a good match and we'll get in touch with you to let you know next steps. In the meantime, check out http://www.bloomberg.com/professional.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.