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Quantitative Analyst – Machine Learning, AVP


State Street
Headquarters: Quincy, MA
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Are you passionate about data? Do you like delivering impactful analysis and driving strategic results? As a Quantitative Analyst you will assume responsibility for developing and delivering innovative approaches to data and analysis for various global initiatives with a particular focus on:

  • Producing high-end, quantitative analysis and predictive modeling using machine learning, deep learning, and econometric approaches
  • Providing expertise across an advanced suite of analytical tools
  • Leading the development and execution of advanced analytical models to provide actionable insights for senior management

In this role you will have an opportunity to work with large sets of proprietary data and be given the freedom to take creative approaches to your analysis. You will serve as a quant expert relative to complex business and quantitative analysis.
You Will:
  • Lead the execution, development, and communication of high-end analysis and predictive models from concept through to design and completion
  • Work with large and varied datasets to develop creative approaches to business analysis
  • Design compelling data visualizations to communicate complex ideas to business leaders and generate insights that drive business value
  • Prepare cost/benefit analysis and recommend solutions based on rigorous quantitative analysis

Desired Qualifications:
  • You should have an advanced degree (Master’s or PhD) in statistics, applied computer science, engineering, economics, finance or another quantitative discipline
  • You should have advanced knowledge of at least one mathematical programming language such as R or Python
  • You should be passionate about advanced analytics, and have demonstrated experience delivering impactful analysis to drive strategic results
  • You should have strong analytical and strategic thinking skills, and have demonstrated an ability to communicate complex ideas through pointed analysis and data visualization
  • You should have 2+ years of experience in building and executing advanced analytical models
  • You should have exposure to Big Data initiatives such as Hadoop, Hive, Pig, Cloudera, Sqoop, and/or Spark
  • If you have experience in investment banking, private equity, or corporate finance it is a plus