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Data Scientist
Our client seeks an experienced data scientist to enhance and support their growing company and help them in meeting the company's vision. The ideal candidate will have empirical research and practical implementation experience using statistics and machine learning, in order to translate market insights into testable hypotheses and profitable forecasting models.
  
Openness to new ideas, creative thinking and collaboration are essential. Preference will be given to candidates with experience with hands on application of collaborative filtering, NLP, SVM, neural networks, regression trees and boosting methods, along with online learning and ex-ante simulation.
  
KEY RESPONSIBILITIES
  • Participate in the development of the data infrastructure for our client's business, looking for alternative and new sources of data, and ensuring the cleanliness and accuracy of data.
  • Lead independent research projects by generating creative ideas and rigorous quantitative analysis that includes testing the efficacy of stock selection factors; identifying the industry-specific, macroeconomic and behavioral drivers of variability in factor performance; and writing robust production code.
  • Support and enhance current alpha forecasting models.
  • Maintain knowledge on current and emerging developments/trends, and identify and recommend new research ideas.
  • Create and communicate technical presentations, explaining our investment philosophy, model drivers, strategy characteristics, and performance attribution to a wide variety of audiences.
  • Enhance existing reports so that PMs and product specialists can easily answer questions or write commentary around the indicators and analytics used in QS’ models.
  • Undertake ad hoc analytical projects as needed to support investment management, marketing and client services.
      
QUALIFICATIONS
  • Minimum 2+ years of experience
  • Superior quantitative skills with experience/training in machine learning, data science, econometrics, finance, statistics, economics, or science/engineering fields
  • Significant programming skills in Python, R, Matlab and/or other packages such as SPSS, SQL, and/or Tableau
  • Master or PhD Level Degree in such as Mathematics, Actuarial Studies or Software Engineering
  • Excellent communications skills is mandatory
      
CHARACTERISTICS
  • Modeling acumen
  • Self-motivated with intellectual curiosity.
  • Attention to impressional accuracy and clarity of data visualizations
  • Excellent written and oral presentation skills, able to explicate the theoretical underpinnings for model factors and weighting
  • Well-developed interpersonal skills that foster a culture of teamwork and knowledge sharing
     
Sponsorship will not be provided for this role hence we request overseas candidates not to apply for this position. You will need to prepare a cover letter stating why are you the right fit for this role.
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