2 years of experience using packages including pandas and numpy. 2 years of experience with Cloud Computing of Big Data using including AWS services S3, EC2, EMR and Athena. Experience in Python. Experience with backend XML, relational, and filebased databases and querying languages e.g. RDB, XOI, S3, Athena accessed via SQL. Experience with Agile software development practices. Experience with DevOps tools e.g. Splunk, Git, uDeploy, Jenkins, ControlM and CICD pipelines, including Git, Splunk and Jenkins. Experience with statistical methods. Experience in common data cleaning and munging techniques. Experience with mutual fund, fixed income, and equity data. Progress towards a CFA charter is required. This position requires a Bachelors degree in Finance, Economics, Engineering any field involving significant quantitative training, specifically Numerical Analysis, Probability and Decision Theory, Optimization, Data Analysis and Mining, and Uncertainty Quantification, or a related field and 5 years of relevant quantitative experience. In the alternative, we will accept a Masters degree in Finance, Economics, Engineering any field involving significant quantitative training, specifically Numerical Analysis, Probability and Decision Theory, Optimization, Data Analysis and Mining, and Uncertainty Quantification, or a related field and 3 years of relevant quantitative experience.
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