Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow
On the Data Automation team, we develop machine learning models and infrastructure to extract key information from all kinds of financial documents such as analyst recommendations, corporate/municipal bond offerings, earnings releases. Our team has built some of the world's most sophisticated neural networks that have beaten the performance of even the best analysts in the market – often demanding 99.9% precision. The models we build enable our clients to get accurate answers fast. The work we do is essential, as a single prediction error can have a market moving effect.
As part of our team, you will own the research on cutting-edge ML/NLP techniques and design efforts for the most efficient and practical application of those techniques to sophisticated business problems. You will utilize our automated ML suite, equipped with annotation platforms, for collecting training data and hyper-tuning models, as well as deploy your application on our scalable ETL infrastructure. If the idea of applying technology and information retrieval techniques to solve challenging data problems excites you, keep reading.
In the upcoming year, you should expect to work on the following:
You will also collaborate with financial domain specialists to gain valuable insights and use their business expertise to increase accuracy in annotating training data. A right combination of cross-field ML techniques, deep understanding of the business problem and high quality training data is fundamental to our models beating the precision of most academic and industry standards and presents a phenomenal opportunity! If this sounds like a challenge you are up for, please apply below.
We'll trust you to:
You’ll need to have:
We’d love to see:
Bloomberg is an equal opportunities employer, and we 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.
Bloomberg L.P. is a privately held financial, software, data, and media company headquartered in Midtown Manhattan, New York City. It was co-founded by Michael Bloomberg in 1981, with Thomas Secunda, Duncan MacMillan, Charles Zegar, and a 12% ownership investment by Merrill Lynch.
New York, NY, USA
2-4 year
New York, NY, USA
2-4 year
San Francisco, CA, USA
2-4 year
New York, NY, USA
0-2 year
New York, NY, USA
4-6 year
New York, NY, USA
4-6 year
New York, NY, USA
4-6 year
Tokyo, Japan
2-4 year
New York, NY, USA
6-8 year
New York, NY, USA
4-6 year
New York, NY, USA
4-6 year
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Princeton, NJ, USA
10-12 year
Princeton, NJ, USA
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San Francisco, CA, USA
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