Statistical Modeling Analyst – Mid-level

Jobtailor; São Paulo; Presencial; BRL 180 000 - 260 000; Tempo integral

Resumo da oferta

Jobtailor in São Paulo seeks an Analytics-Pricing professional to build and refine demand and conversion models for Fleet and Truck insurance pricing. You will monitor model performance and collaborate with cross-functional pricing teams to enhance pricing accuracy and efficiency.

The role requires strong skills in statistical modeling, data analysis, and tools like SAS, Python, Emblem, Power BI, and SQL. Advanced English and postgraduate qualifications are a plus.

Qualificações

• Bachelor's degree in Actuarial Science, Statistics, Mathematics, Economics, Engineering or related fields.
• Experience in Insurance Pricing.
• Experience in statistical modeling.
• Knowledge of SAS, Python, Emblem and Power BI.
• Advanced English and a postgraduate degree are considered a plus.

Responsabilidades

• Develop and refine demand and conversion models to optimize insurance product pricing.
• Monitor model performance.
• Collaborate with multidisciplinary product and pricing teams.
• Understand requirements and identify opportunities to improve processes and products from a modeling perspective.
• Explore new variables and data sources to improve models' predictive power.
• Monitor KPIs and the performance of models and pricing/rates.

Conhecimentos

Statistical Modeling

Data Analysis

Demand Modeling

Conversion Modeling

KPI Monitoring

Formação académica

Bachelor's degree in Actuarial Science, Statistics, Mathematics, Economics, Engineering or related fields

Ferramentas

SAS

Python

Emblem

Power BI

SQL

Descrição da oferta de emprego

• Work in the Auto Product Directorate, within Analytics-Pricing, for Fleet and Truck products
• Develop and refine demand and conversion models to optimize insurance product pricing
• Monitor model performance
• Analyze datasets using SAS, R, SQL and/or Python
• Collaborate with multidisciplinary product and pricing teams
• Understand requirements and identify opportunities to improve processes and products from a modeling perspective
• Explore new variables and data sources to improve models' predictive power
• Monitor KPIs and the performance of models and pricing/rates
• Evaluate and implement new technologies and techniques to improve model efficiency and accuracy

Requirements

• Bachelor's degree in Actuarial Science, Statistics, Mathematics, Economics, Engineering or related fields
• Experience in Insurance Pricing
• Experience in statistical modeling
• Knowledge of SAS, Python, Emblem and Power BI
• Advanced English and a postgraduate degree are considered a plus

Core Competencies

Demonstrates expertise in statistical modeling and insurance pricing, utilizing tools such as SAS, Python, and Emblem to optimize product pricing and enhance model performance. Strong analytical skills are essential for evaluating datasets and improving predictive accuracy.

Highest-signal resume keywords

• Statistical Modeling
• Insurance Pricing
• SAS
• Python
• Data Analysis

ATS Optimization Keywords

Hard Skills

• Statistical Modeling
• Data Analysis
• Demand Modeling
• Conversion Modeling
• KPI Monitoring

Soft Skills

• Collaboration
• Process Improvement
• Analytical Thinking

Industry Keywords

• Insurance Pricing
• Predictive Modeling
• Model Performance
• Data Sources
• Multidisciplinary Teams

Tools & Technologies

• SAS
• Python
• Emblem
• Power BI
• SQL