Credit Risk Analyst II

Jobtailor; Rio de Janeiro; Presencial; BRL 80 000 - 140 000; Tempo integral

Resumo da oferta

Jobtailor in Rio de Janeiro seeks a data-driven professional to develop credit policies and perform portfolio risk analyses. You will work with SQL, Python, and advanced Excel to build models, monitor KPIs, and prepare management reports.

You will collaborate with the Data team to extract data, run impact assessments, and present findings to management. A strong statistical background and reporting skills are essential for success.

Qualificações

• Bachelor's degree in Statistics, Engineering, Economics, Business Administration, or a related field
• Advanced Excel
• Proficiency in SQL and other data manipulation languages
• Proficiency in a structured programming language: Python, Visual Basic for Applications, or SAS

Responsabilidades

• Develop descriptive and predictive credit policies, including customer acceptance policies and policies based on statistical models
• Prepare the Management Information System, including credit risk and recovery reports and indicators
• Conduct applied studies to optimize risk policies and strategies
• Extract and manipulate information databases, prepare financial risk projections, plans, and forecasts, and monitor risk indicators
• Work as part of the squad in coordination with the Data team to obtain the information required for portfolio analysis
• Prepare results presentations as requested by Management
• Support squad decision-making by clarifying questions and aligning information
• Conduct studies, analyses, and impact assessments of changes to credit policy
• Perform data analyses and provision calculations, proposing improvements to reports and KPIs
• Support the immediate supervisor on matters related to the area, presenting and discussing issues and irregularities
• Follow applicable procedures and standards, identifying opportunities for improvement
• Analyze area processes and propose improvements to maximize results
• Stay up to date on technological advances and contribute to continuous improvement
• Perform other related activities as directed by the immediate supervisor

Conhecimentos

Data Analysis

Credit Policy Development

KPI Improvement

Financial Risk Projections

Statistical Modeling

Formação académica

Bachelor's degree in Statistics, Engineering, Economics, Business Administration, or related field

Ferramentas

SQL

Python

Visual Basic for Applications

SAS

Advanced Excel

Management Information System

Descrição da oferta de emprego

• Develop descriptive and predictive credit policies, including customer acceptance policies and policies based on statistical models
• Prepare the Management Information System, including credit risk and recovery reports and indicators
• Conduct applied studies to optimize risk policies and strategies
• Extract and manipulate information databases, prepare financial risk projections, plans, and forecasts, and monitor risk indicators
• Work as part of the squad in coordination with the Data team to obtain the information required for portfolio analysis
• Prepare results presentations as requested by Management
• Support squad decision-making by clarifying questions and aligning information
• Conduct studies, analyses, and impact assessments of changes to credit policy
• Perform data analyses and provision calculations, proposing improvements to reports and KPIs
• Support the immediate supervisor on matters related to the area, presenting and discussing issues and irregularities
• Follow applicable procedures and standards, identifying opportunities for improvement
• Analyze area processes and propose improvements to maximize results
• Stay up to date on technological advances and contribute to continuous improvement
• Perform other related activities as directed by the immediate supervisor

Requirements

• Bachelor's degree in Statistics, Engineering, Economics, Business Administration, or a related field
• Advanced Excel
• Proficiency in SQL and other data manipulation languages
• Proficiency in a structured programming language: Python, Visual Basic for Applications, or SAS

Core Competencies

Demonstrates expertise in developing credit policies and conducting data analyses to optimize risk strategies. Proficient in SQL, Python, and advanced Excel for financial risk projections and reporting.

Highest-signal resume keywords

• Credit Policy Development
• Data Analysis
• SQL Proficiency
• Python Programming
• Advanced Excel

Hard Skills

• Credit Policy Development
• Data Analysis
• SQL
• Python
• Visual Basic for Applications
• SAS
• Financial Risk Projections
• Statistical Modeling
• KPI Improvement
• Management Information System

Soft Skills

• Collaboration
• Communication
• Problem-Solving
• Decision-Making
• Presentation Skills

Industry Keywords

• Credit Risk
• Risk Indicators
• Portfolio Analysis
• Financial Forecasting
• Continuous Improvement