US based hedge fund is a quantitative asset management firm currently has over 600 employees spread across more than 25 offices in 15 countries. Fund develops and deploys systematic financial strategies across a variety of asset classes in global markets, utilising a proprietary research platform and risk management process. We seek to produce high-quality trading signals through our proprietary research platform to employ trading strategies focused on exploiting market inefficiencies. Our teams work collaboratively to drive the production of trading algorithm and financial strategies - the foundation of a sustainable, global trading platform. Technologists research, design, code, test and deploy projects while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually intense. Our teams are lean and agile, which means rapid prototyping of products with immediate user feedback. We seek people who think in code, aspire to solve undiscovered computer science challenges and are motivated by being around like-minded people.
We are looking an Enterprise-Level BigData Specialist. The role will involve constructing and maintaining a Hadoop environment for use within the firm. Ideally it needs to be container-based (we're trying to move away from Ambari and anything bare-metal) and easily expandable across any number of hosts. We have had some success so far with using Kubernetes for underlying Hadoop services, but want someone to own the whole eco-system. In particular we're looking to lock down services using Kerberos. The core application will be reference data creation and analysis.
Must have
- Hadoop
- Kubernetes
- Kerberos
- HDFS
- GPFS
- Spark
- Hive
- HBase
- Presto
Nice to have
FinTech
English: B2 Upper Intermediate
Senior
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Vacancy Specialization
BigData (Hadoop etc.)
Ref Number
VR-75770
