ResponsibilitiesBuild data infrastructure for Trading Analytics, including Databases and Data LakeDevelop Machine Learning and Financial models for Trading Execution, Market Making, and SalesEnsure data quality, including mining, cleansing, and analyzing large datasets for use case developmentWrite code and algorithms, mainly in Python and ScalaCreate software applications, user interfaces, APIs, dashboards, and automated reports for business usersBuild systems for collection and transformation of large data sets to enable model developmentAssist with the execution of Big Data solutions and related technologiesPresent results from AI and Financial models to stakeholdersCollaborate with Data Architects, Developers, and Business Developers to jointly meet deadlines RequirementsSeveral years of experience as a Data ScientistProven knowledge of Machine Learning and Artificial Intelligence, including Advanced Statistical Analysis, Data Mining, Bayesian Statistics, Reinforcement Learning, and Deep LearningAdvanced coding skills (e.g. in Python, R, Matlab, Scala, C, Java)Knowledge of Webapp Development, Docker, Kubernetes, Git, and Dash (or similar)Knowledge of Data Architecture, Databases (Oracle, MSSQL, MongoDB), Data Lakes, and Cloud Computing (e.g. MS Azure or Snowflake)Knowledge of PowerBI, Tableau, and VBAKnowledge of Mathematical Finance and Financial Markets, including Algorithmic Trading, Financial Derivatives, Portfolio Management, and Dynamic Optimization methodsFluent in EnglishNice to haveKnowledge of Spark, Databricks, Kafka, and real time analyticsPersonalityGood communication and presentation skillsTeam player and service oriented personalityStructured working style