Bloomberg runs on data. Using the power of technology, we connect the world's decision-makers to accurate information on the financial markets and help them make faster, smarter decisions.
The Enterprise Content engineering group builds products that enable our clients to evaluate and manage the liquidity of their portfolios, comply with market regulations, and access vast amounts of high-quality reference datasets. Our clients need this data for a variety of reasons, including risk management, pre & post-trade analysis, and regulatory reporting.
Our engineering teams deal with tremendous amounts of data across a variety of asset classes. Our systems acquire, store and process billions of data points daily utilizing our highly scalable distributed infrastructure, which comprises both physical and cloud machines. Majority of our code base is in Python, while we also have components that use C++, Java and Scala. We use a slew of Big Data open source technologies, including Hadoop, Spark, Cassandra, Redis, S3, Kafka, Ansible, Airflow among others. Our energetic group of engineers work very closely with domain experts from our Product groups as well as from other parts of Bloomberg.
We are at the exciting intersection of finance and technology, where access to fast, accurate, and high-quality data is paramount. Our clients, which include banks, hedge funds, asset managers, insurance, and other financial institutions, are continually increasing their sophistication and use of automation; therefore, we are just at the beginning of our journey. Joining our team will provide you with tremendous growth opportunities as we embark on our quest to solve complex domain & technical challenges.
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.
Job ID: 85332
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