Credit Risk Modeling Analyst – Mid-Level

Sicredi

. Develop and maintain credit risk models .

Posted 10/30/2026full-timePorto Alegre • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and maintaining credit risk models, utilizing advanced statistical modeling techniques, and effectively communicating technical results to non-specialist teams. Proficient in analyzing large data volumes to support strategic decision-making and fostering a risk culture within cooperative institutions.

Highest-signal resume keywords

Credit Risk ModelingStatistical Modeling TechniquesProgramming Languages (SAS, R, Python, SQL)Model Performance MonitoringIFRS 9 Modeling

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

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

Hard Skills

Statistical Modeling TechniquesRegressionDecision TreesMachine Learning TechniquesData AnalysisModel DevelopmentModel EnhancementData Volume ManagementAnalytical MethodologiesModeling Experience

Soft Skills

Analytical SkillsLogical ReasoningCommunication Skills

Tools & Technologies

Microsoft OfficeExcelWordPowerPoint

Industry Keywords

Credit RiskCMN Resolution 4.966Risk CultureLending DecisionsPricingProvisioningStrategic Decision-Making

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Develop and maintain credit risk models
Actively collaborate with business teams, integrating solutions into Sicredi’s credit and business strategies
Monitor model performance
Work with large volumes of data
Analyze data to support strategic decision-making
Foster and disseminate a risk culture across the cooperative institutions
Communicate with and provide support to internal teams
Develop and enhance models for lending decisions, pricing, and provisioning
Address challenges related to the evolution of CMN Resolution 4.966, predictive models, and new data sources and analytical methodologies

Requirements

What you’ll need

Proven experience in modeling
Advanced knowledge of statistical modeling techniques, such as regression, decision trees, and machine learning techniques
Strong analytical and logical reasoning skills
Knowledge of programming languages such as SAS, R, Python, SQL, or others
Ability to communicate technical results clearly and objectively to non-specialist teams
Proficiency with Microsoft Office, especially Excel, as well as Word and PowerPoint
Knowledge of IFRS 9 modeling is a plus

Benefits

Comp & perks

14th and 15th fixed salaries
Profit-sharing payments, according to seniority
Health and dental insurance with no copayment
Well-being programs, including Wellhub (formerly Gympass), nutrition, psychology, workplace exercise, massage, running groups, and local gym access
Food and meal allowances, with flexible allocation between the food and meal cards and no copayment
Extended maternity and paternity leave
Childcare or nanny allowance for children up to 6 years and 11 months old
Allowance for children with disabilities, with no age limit
Life insurance
Private pension plan with contributions of up to 8% of salary
Training platform—Sicredi Aprende—with a wide range of courses
40-hour workweek, using a time-banking system
Remote-work allowance, except for positions that are 100% on-site