Company:
Eka Finance
Location: London
Closing Date: 20/10/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
Role:-This team member will be responsible for the implementation of technology to enable large-scale computational efforts in quantitative research, as well as related efforts, such as the preparation and transformation of data and other operational tasks. This role will work with senior technologists on the design and implementation of systems, and work closely with the quantitative research team to enable their missionYou will:-Partner closely with the Senior Portfolio Manager to develop data engineering and prediction tools primarily for the systematic trading of equitiesDevelop software engineering solutions for quantitative research and tradingAssist in designing, coding, and maintaining tools for the systematic trading infrastructure of the teamBuild and maintain robust data pipelines and databases that ingest and transform large amounts of dataDevelop processes that validate the integrity of the dataImplementation and operation of systems to enable quantitative research (i.e. large scale computation and serialization frameworks)Requirements :-Master’s or PhD in Computer Science, Physics, Engineering, Statistics, Applied Mathematics, or related technical field appropriate to a computational backgroundExpert in C++Advanced programming skills in PythonStrong Linux-based developmentKnowledge of machine learning and statistical techniques and related librariesExperience as a quantitative developer supporting an intraday (or faster) system ( 3 years experience at least)Experience with the development practices of large tech (Google/Meta, etc.) or finance firmsExperience with financial dataApprox. 3-4 years of professional experience in a computer science/computational roleExperience working in a technical environment with DevOps functions (Google Cloud, Airflow, Influx DB, Grafana)Apply:-Please send a PDF CV to [email protected]
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