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Data Science Developer, Chicago, IL
We are seeking a talented Data Science Developer to contribute to the enhancement of an automated trading system. This critical role combines elements of large-scale data management, algorithm implementation and process management. The successful Data Science Developer must be a team player, have the ability to build scalable processes, and have effective problem-solving and communication skills.
– Develop processes to collect and analyze data for automated trading systems.
– Define and implement new procedures as needed for data collection and analysis.
– Improve process for requesting, parsing, and storing external data from multiple sources.
– Support and enhance web applications.
– Support the financial engineers with their data and script writing requirements.
– Develop standardized interfaces between data and trading systems.
– Develop and maintain documentation and standards.
– Identify, track, and maintain metrics for trading system operations.
– Identify and respond to system incidents and problems, including performing troubleshooting.
procedures and escalating as necessary.
– Select and implement software tools to support execution and management of procedures.
– Work with colleagues to identify and develop opportunities to enhance and improve trading system.
– BS/BA degree required. (Coursework in Statistics, Finance, or Computer Science preferred.)
– 3+ years of relevant Python scripting experience.
– 2+years of relevant work experience in financial markets.
– Strong database knowledge; SQL, Postgres, MySQL, etc.
– Linux experience required.
– Experience with Perl preferred.
– Experience with a Python web framework (e.g., bottle, flask) preferred.
– Experience with Hadoop preferred.
– Highly detail-oriented and well-organized.
– Able to multi-task and work under pressure.
– Capable of building scalable and robust processes.
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