Identifies relationships and trends in data, and notes factors that may affect research results.\u00A0\u00A0 Solves common optimization problems - linear, nonlinear, and integer programming.\u00A0 Programs using SQL, Bloomberg, and Factset API.\u00A0ĭesigns research projects that apply valid scientific techniques using historical data.\u00A0 Researches and develops AI/MI methods as components in the delivery of innovative investment management technology solutions.\u00A0ĭesigns and implements portfolio risk and optimization techniques to delivery industry differentiated capabilities.\u00A0ĭevelops and evaluates ML models on large scale datasets.\u00A0 Manages the estimation, planning, analysis, design, and development of projects.\u00A0 Leads ML strategy and road map planning.\u00A0ĭevelops and evaluates ML models on large, complex datasets.\u00A0Įstablishes and project manages analysis plans for multiple complex work streams.\u00A0 Acts as a primary liaison for business units to resolve various projects/technology issues.\u00A0 Implements statistical models, predictive models, and time series analysis through regression, classification, simulation, and dimension reduction using Python. Designs ML models and applies parallel computing implementation to solve real-world problems. Researches and develops Artificial Intelligence (AI) and Machine Learning (ML) methods as components to consolidate investment management technology solutions using Python, PySpark, Tensorflow, Amazon Sagemaker, and Amazon EMR. Develops investment management and security pricing algorithms using Java, Scala, Python, and R.
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