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Requirements: Bachelor’s degree, or foreign equivalent, in Finance, Economics, Data Engineering, or a related field, and five (5) years of experience within the financial services industry in the job offered or in a related occupation. Five (5) years of experience must include: Modern Portfolio Theory, asset allocation techniques, portfolio simulation, risk analytics, financial markets, and investment strategies; Python, JavaScript, CSS, HTML, Hadoop, HUE, Hive, Impala, Impyla, Pandas, Pyspark, Matplotlib, Seaborn, Tensor Flow, Keras, Scipy, and Numpy; Data engineering technologies including R and Agile Framework, and visualization tools including Arcadia, Tableau, Qlik, and DASH; Platform applications, including Java, Oracle, SQL, API, and Web services; Working with Fintech and integrating analytical solutions into platforms to increase scalability; Leveraging best practices and globally accepted tracking, documentation, and collaboration frameworks including Git, Bitbucket, and JIRA; Capital Markets and Managed Investment products including derivatives and alternative investments; Financial modelling and statistical analysis tools (Monte Carlo simulation, optimization, and regression); and Artificial Intelligence and Machine Learning regression, forecasting and clustering algorithms, including Decision Tree, Forest Classifier, K-nearest Neighbor, Bagging Classifier, Naïve Bayes, Support Vector Machines, Stochastic Gradient Descent Classification and Logistic Regression. Must have the ability to read, write and speak fluent Spanish and/or Portuguese. 40 hrs./wk. Up to 20% domestic and international travel required. Applicants submit resumes at . Please reference Job ID # 24741910. EO Employer.
Wage Range: $180,000.00 to $225,000.00
Full timeNew York New York United States
Anticipated Posting Close Date:
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