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Quantitative Analyst

Date: 23-May-2019

Location: Provincia de Buenos Aires, Argentina, AR

Company: CRISIL Limited

KEY ROLES & RESPONSIBILITIES

  • Developing machine learning and other AI models with Python, R, or other languages and tools
  • Combining Natural Language Processing techniques and other analytic techniques to extract useful information from both unstructured and structured data
  • Translating and summarizing complex analysis into understandable, actionable insights and recommendations that directly drive effective business strategy
  • Retrieve, combine and transform data from numerous information systems
  • Scale analytics solutions to Big Data with Hadoop, Spark/PySpark and other Big Data tools
  • Support technical build-out and/or support of databases, query tools, reporting tools, BI tools, dashboards, etc. that enable analysis, modeling, and/or data visualization.
  • Responsible for performing highly complex activities related to creation, implementation, documentation, validation, articulation and defense, on-going maintenance of complex models grounded in theory used to quantify, analyze and manage customer complaints.
  • Typically focus on the theory and/or advanced mathematics behind the analyses. Applies knowledge of business, customers, and/or products/services/portfolios to synthesize data to 'form a story' and align information to contrast/compare to industry perspective.

MINIMUM & PREFERRED EDUCATION

2+ years of experience in an advanced scientific or mathematical field.   A master's degree or higher in a quantitative field such as mathematics, statistics, engineering, physics,

economics, or computer science

MINIMUM & PREFERRED EXPERIENCE / SKILLS

  • Take initiatives and drive each project to completion with minimal guidance while effectively managing multiple projects at a time.
  • Demonstrated analytical and quantitative problem-solving skills
  • 3+ years of industrial Data Science experience, with expertise in NLP (CNN, RNN, GRU, Seq2Seq, PoS tagging, Entity Extraction, Word Embeddings, NER, etc.)
  • Have published NLP research
  • Have NLP related deep learning experience
  • Have deployed large scale Data Science solutions: Java, Python, C++


Job Segment: Quantitative Analyst, Data, Research

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