Qintess

Mid-Level Data Administrator

Qintess

full-time

Posted on:

Location Type: Remote

Location: Brazil

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Tech Stack

About the role

  • Administer, maintain, and ensure the integrity of data to guarantee information availability upon request.

Requirements

  • Bachelor's degree preferably in Statistics, Mathematics, Engineering, Economics, Data Science, or related fields.
  • Practical experience with applied statistics and statistical testing, and quantitative modeling.
  • Proficiency in Python for quantitative modeling, including: model development, analysis and validation; documentation and traceability; automation of analyses.
  • Solid experience in credit model validation, including: stability assessment (PSI, CSI), performance evaluation, and regulatory adherence.
  • Strong knowledge of credit risk and regulatory risk (Central Bank of Brazil - BACEN, applicable resolutions, Basel framework).
Benefits
  • Meal/Food Voucher (Alelo).
  • Medical insurance (Notre Dame Intermédica | Hapvida) – 100% of the employee's monthly fee covered and 50% for dependents; co-payment plan applies.
  • Dental insurance (Amil) – 100% of the employee's monthly fee covered and 50% for dependents.
  • Extended maternity and paternity leave.
  • Partnerships with higher education institutions and language schools offering discounts (for employees and direct dependents).
  • Agreements with pharmacies (Droga Raia and Drogasil) offering discounts on medications (Univers app).
  • Support for professional certifications (according to area of work).
  • Company-provided laptop.
  • Employee referral bonus.
  • Internal relocation program.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Pythonapplied statisticsstatistical testingquantitative modelingmodel developmentmodel analysismodel validationautomation of analysescredit model validationperformance evaluation