Address Role:
Software developer who will be a founding member of a new team trading mid-frequency statistical arbitrage strategies. The candidate should have a passion to work in a start-up environment and take ownership of projects and contribute to design. The candidate will be working on greenfield projects, which are critical to the success of the new team.
Responsibilities:
Collaborate with the research team to build the trading system and research infrastructure
Manage the software delivery lifecycle
Build connectivity to internal data and execution platforms
Develop data pipelines, research, and post-trading analytics tools
Requirements:
Bachelor’s degree or higher in Computer Science, Computer Engineering, or Information Systems
5+ years of professional Software Engineering experience
Fluency in Python 3 and familiarity with pandas
Familiarity with version control and software delivery lifecycle
Familiarity with deployment and process control (Docker, K8s, Jenkins, Airflow)
Familiarity in SQL and Timeseries Databasing (InfluxDB, TimescaleDB)
Familiarity with asynchronous messaging (ZeroMQ, RabbitMQ, Kafka)
Proficiency with the Linux environment, with some sys-admin experience
Real project experience in deploying Time Series or Machine Learning systems (e.g. Tensorflow, MLFlow) is a plus
Detail oriented and curious about the latest trends in technology
Masters in Data Science/Statistics or experience with Time Series or Statistics a plus
Commitment to the highest ethical standards
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