Job description

We are looking for an individual with experience in using a variety of data tools, analysis methods, and machine learning algorithms to build and implement predictive models with demonstrable business impact.


Ideal candidates will have:

  • Degree in Statistics, Mathematics, Computer Science or another, Honors or Masters advantageous.
  • 2+ years of experience manipulating data sets
  • 2+ years of experience building statistical models
  • Experience querying databases and using statistical computer languages when managing data: (e.g., R, Python, SQL, etc.)
  • Knowledge and experience in statistical and data mining techniques (e.g., GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.)
  • Knowledge of a variety of machine learning techniques such as clustering, decision tree learning, artificial neural networks, etc., and their real-world advantages and drawbacks.
  • Experience with distributed data/computing tools: (e.g., Map/Reduce, Hadoop, Hive, Spark, MySQL, etc.)
  • Experience visualizing/presenting data for stakeholder use and reuse across the business
  • Knowledge of various toolsets such as SAP Hana Studio, SAP Data Services, Informatica Data Quality Suite, Cloudera big data storage, and Microsoft Power BI will be advantageous.
  • Business experience in financial services or financial asset management will be advantageous
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