Who we are:

The Bloomberg CTO Office is the future-looking technical arm of Bloomberg L.P. We envision, design and prototype the next generation infrastructure, hardware and applications that interface in all aspects of the company including financial products, broadcast and media, data centers, internal IT and our global network. We are passionate about what we do.

What we do: 

The CTO Data Science department is a dynamic, collaborative and intellectually stimulating environment - the work is always exciting and the challenges we encounter are never boring. From this department we guide the company's overall strategic direction for machine learning, natural language processing, and search throughout the entire business.  We are transforming our business through these technologies as well as the insights we provide our customers across the global financial sector.

At Bloomberg, our systems ingest hundreds of billions of market data ticks and millions of curated news stories for financial players to process and make investment decisions. The CTO Data Science department's machine learning efforts enhance our clients' ability to find the right pieces of information that are vital for continued success in their jobs.

What’s in it for you: 

At Bloomberg, we have the richest and most comprehensive financial datasets in the world. Our powerful enterprise products serve a large and diverse client base from data intensive analytics to trading. The Bloomberg Quant Platform (BQNT) is an example of the frontier of our work – a platform for quantitative researchers to rapidly analyze data and research trading strategies using the powerful and expressive Bloomberg Query Language (BQL) to access data and services.

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. This revolutionary product will enable clients to massively accelerate their research to production cycle and achieve an edge in the market.

As a technical product manager, you will be responsible for the following areas:

• Design and build out capabilities for quant research and trading workflows
• Deliver the capabilities in high-quality software with engineering teams
• Frame research projects and work with ML/quant teams to solve research problems from clients' perspective for product discovery
• Connect with clients to understand their needs and educate them on our quant capabilities
• Develop a multi-year strategic plan that aligns with the global product management team 

You’ll need to have:

• 10+ years in quantitative research / portfolio management across asset classes
• Broad experience from trading strategy development to risk management and trade execution 
• Masters or PhD in quantitative fields
• Ability to drive initiatives from ideation to delivery by collaborating with quants/ML researchers and engineering teams

We’d like to see:

• Passion about product development with Bloomberg technology
• Solid foundation in Statistics and ML, and successes in applying them in the past
• Multi-asset class experience, including futures and options
• Determination to overcome challenges through collaborative efforts 

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.