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: Alternative and non-traditional data is an area of extreme growth for the financial community, where data science enables quantitative researchers to integrate these new sources into existing and novel trading strategies. Crucial to the value generation process is the discovery and evaluation of new data sets. You will act as a data scout and lead our efforts to prospect and curate a best-in-class catalog offering of alternative data sets aimed at quantitative researchers. You will use your external network and financial judgement to source new data sets. You will work across the firm to design and implement a process to quickly assess the value of new data sets, and you will lead the acquisition process to bring these data sets on. You will bring a depth of experience with alternative data in the financial domain, both from an acquisition and production viewpoint, and will bring a strong work ethic and collaborative bent to their work.
You'll need to have:
3+ years prospecting or utilizing alternative data sets for quantitative research
5-7 years of experience in the financial sector
Expertise in understanding how quantitative researchers utilize alternative data sources
Deep knowledge and experience across the alternative data universe, especially in consumer data
Creativity in generating new datasets and finding value
The ability to work collaboratively to on-board and assess data set value
We'd like to see:
Passion for the alternative data space
Curiosity about quantitative research and finance
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.