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Associate Data Modeler

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Data Research & Analytics
💼
Risk Solutions
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LNR0088L Requisition #

Job Description:

This position exists to conduct both data handling and analytics/statistical modeling for credit application (risk and fraud). The level will be further refined ranging from entry level of an Associate to senior depending on the university degrees, seniority, experience of the applicant in data mining, statistical methods, multiple modeling/scoring techniques, lead/provide tactical direction and oversight of project team's work, etc.

 

LexisNexis Risk Solutions is the trusted data analytics provider for organizations seeking actionable insights to manage risks and improve results. Our Risk Business Analytics family contains over 100 data scientists in fast-paced environment. We are innovators, passionate about challenging the status quo, and improving outcomes.

 

Qualifications:

  • Bachelor’s degree in computer science, mathematics, engineering or other quantitative science. Master's degree is a plus.
  • Experience in data manipulation, cleansing, relational databases.
  • Ability to learn quickly, work with a team, and communicate effectively.
  • Strong oral and written communication skills, including the ability to describe technical results to non-technical audiences;
  • Advanced English and fluent in Portuguese.

 

Accountabilities:

  1. Has developed some exercise / project in data manipulation, cleanup, relational databases and statistical modeling.
  2. Ability to learn quickly, work with a team, and communicate effectively.
  3. Strong oral and written communication skills, including the ability to describe technical results for non-technical audiences; minimum level, written in English and orally in Portuguese. Fluency in English is an advantage.
  4. Has programming work, whether SAS, R, SQL, Python, Spark and / or VBA.
  5. Knowledge in parallel language will be considered a differential.

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