We're champions of unleashing potential

 

Aliya combines human ingenuity with data intelligence to solve modern business challenges that are seemingly impossible with existing paradigms. The result? A new and transformative business approach that goes beyond today’s imagination. Our advanced algorithm helps businesses analyze their existing data to push their capabilities further, helping them achieve more from their current resources.
 
WHAT’S IN THE WORKS

  • A new credit score model for loans, allowing banks to give a loan to customers based on better risk mitigation – customers who are not being served by traditional credit score models.
  • Proprietary real estate and other data combined with Aliya’s analytics capabilities can seek out high value targets for presenting loan or finance offers on things like home improvement.

 
We are not collecting data – we just know how to squeeze more out of the data you already have. 

 

Open Positions


Data Scientist Machine Learning

What you will do

Responsible for assisting with the development of Aliya’s state-of-the-art, advanced analytical machine-learning-based software framework that can ingest, structure and model large amounts of data in different formats and from different sources. Capable of helping with the design of systems that can grow and maintain Aliya’s competitive advantage.  Able to learn, assist and when needed take initiative on various modeling assignments.

 

Qualifications

  • 1+ years of experience with Python

  • Knowledge of some of the following: numpy, scipy, pandas, scikit-learn

  • Knowledge of basic statistics and data analysis

  • Experience with open source software for data ingestion and data processing

  • Ability to both follow and take lead, depending on the situation

  • Academic or industry examples of machine learning models previously built

  • 1+ years of hands on work with unclean, semi-structured or unstructured data sets preferred

  • Experience working in teams of analysts, data engineers, statisticians, and data scientists is highly preferred

  • Experience in analytics (a.k.a. decision sciences) in the financial industry; in particular, for credit and marketing of unsecured lending products (development of credit risk models, valuation models, credit policy) preferred

  • Superb analytical, math, coding, and data background

  • Innovative mindset—thinks beyond the status quo

  • Profiling, cross-platform adaptively, are preferred


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