Company Profile:

A client of Flexi

Job description:

Requirements: Minimum of 7+ years of experience in software engineering. An advanced degree in engineering, computer science, statistics or related field. Experience Python or C#/.NET is essential. some C/C++ skills are highly desirable. Experience with Python packages like pandas, scikit-learn, tensorflow, numpy is a plus. Experience developing APIs and microservices hosted in the cloud Familiarity with DevOps tools (e.g. Splunk, Git, uDeploy, Jenkins, Control-M) Familiarity with Agile software engineering practices Familiarity with back-end XML, relational, and file-based databases (e.g. SQL, Postgres, Redshift, Netezza, HDFS) Experience with UNIX/Linux including basic commands and shell scripting Experience developing and deploying solutions using services in the Amazon AWS ecosystem (Lambda, EC2, RDS, EMR) is a plus Experience with the Hadoop stack (MapReduce, Pig, Hive, Nifi, Spark) is a plus Experience with at least one statistical modeling language (e.g. R, MATLAB, Python) is a plus Experience designing, developing, and implementing ETL is a plus Intermediate knowledge of statistical methods is a plus Familiarity with common data cleaning and munging techniques is a plus Familiarity with automation tools such as Puppet or Chef is a plus. Familiarity with statistical software, linear algebra, optimization, and information visualization is a plus Familiarity with mutual fund, fixed income, and equity data is a plus Progress towards a CFA is a plus Strong financial engineering background is a major plus Intellectual curiosity for the world of quantitative research