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 problems we tackle 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 necessary to succeed in their jobs.

What’s in it for you: 

 
Bond pricing is one of the core functionalities in fixed income (FI), for pre-trade price discovery, liquidity assessment, transaction cost analysis, relative-value trading research, and risk management. Bloomberg has an extensive footprint in the FI space, including pricing, analytics, and trading platforms. As the industry demands more in front-office functionalities such as market making and portfolio trading, and continuous risk management, we are looking to deepen our position through innovation. 

You will be presented with a unique opportunity to transform bond pricing by inventing and applying cutting-edge AI technology, collaborating with top-notch AI researchers and quants, and leveraging extensive Bloomberg datasets and powerful analytics in FI. You will act as a technical product manager to coordinate the efforts across quants and AI teams to drive innovation in pricing and related areas. You will get deeply involved in the end to end process from idea generation to model development and production deployment. Any significant improvement we make in bond pricing will have a huge impact on Bloomberg business in pricing, analytics, and trading platforms, and improve market efficiency in general. You will be challenged to discover more opportunities in applying AI techniques in FI besides pricing. You will bring a great depth of quantitative research experience in FI, and will bring a strong work ethic and collaborative spirit to the work.

You’ll need to have:

-    3+ years in FI quantitative research; bond pricing experience is a plus 
-    5+ years of FI experience in investment firms or broker/dealer trading firms  
-    Masters degree in quantitative fields; PhD is preferred
-    A solid foundation in statistics and machine learning, and achievements in applying them to real-world problems
-    Ability to collaborate with quants and AI teams and drive initiatives

We’d like to see:

-    Passion about FI research and cutting-edge ML techniques 
-    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.