We believe innovation is, above all, an attitude.
Create ideas that transform people and thereby empower them to transform the world.
Promote a change in people's mindset.
Seek entrepreneurship, resilience, an understanding of Qintess's value proposition, and hands-on day-to-day experience.

Proven experience with applied statistics
Statistical testing
Model performance evaluation
Stability analysis (PSI, CSI)
Logistic regression, linear regression, clustering, decision trees, scoring
Hands-on experience in credit model validation, with strong expertise in:
Regulatory risk models (PD, LGD, EAD)
AUC, Gini, KS and performance metrics
Backtesting and stress testing
Strong command of Python for quantitative modeling, including:
Building, analyzing and validating models
Documentation and traceability
Automation of analyses
Solid knowledge of credit risk and regulatory risk (BACEN, resolutions, Basel)
Experience handling large volumes of data, preferably in a banking environment
Advanced knowledge of SQL, including writing and optimizing queries to support analyses
Familiarity with version control tools (Git)
Preferred (not required) qualifications:
Experience with SAS or R environments
Knowledge of Data Governance and Data Quality applied to regulatory models
Experience with data pipelines that support credit models
Participation in audits or regulatory processes (BCB, internal/external audits)

Medical coverage (Notre Dame Intermédica | Hapvida) – 100% of the employee premium covered and 50% for dependents; co-payment plan.
Meal allowance (according to the CCT)
SESC benefits
Extended maternity and paternity leave
Partnerships with universities and language schools offering discounts
Pharmacy partnerships (Droga Raia and Drogasil) with discounts on medication
Courses and training on Qintess's e-learning platform
The Chapters: discussion and study groups
Certification support
Qeep Moving – internal mobility program
"I Recommend" program – referral bonuses starting at R$300.00.

Data Administrator – Mid-level

Key skills