Job Summary: Responsible for developing, validating, and enhancing complex predictive models for pricing strategies, applying Machine Learning and Statistics to transform data into business intelligence. Key Highlights: 1. Cutting-edge Modeling Development using advanced techniques 2. Strategic Business Vision with real impact on P&L 3. Technical Mentorship for Junior and Mid-level professionals **Job Description** --------------------- Responsible for developing, validating, and enhancing highly complex predictive models to support the pricing strategies of the company’s key products. Will apply advanced Machine Learning, Statistical, and Mathematical techniques to transform data into business intelligence, supporting strategic decisions and ensuring product profitability, competitiveness, and sustainability. Will also collaborate closely with business units to continuously improve pricing strategies and strengthen a data-driven culture. **Responsibilities and Duties** ----------------------------------- * Cutting-edge Modeling Development: Lead the development of automated pricing and underwriting models, ensuring use of advanced techniques and appropriate metrics for each model; * Strategic Business Vision: Actively collaborate with Underwriting and Product teams to ensure models are applicable and deliver real impact on P\&L (Loss Ratio and profitability); * Validation and Experimentation: Technically validate model utility through A/B testing, experimental design, and intervention controls to ensure performance and stability; * Model Lifecycle and Monitoring: Monitor model lifecycles, track consistency between assumptions and observed values, and identify needs for retraining or adjustments; * Pricing Governance: Present analysis results and project status in technical and executive committees, ensuring defined governance standards for the pricing process; * Technical Mentorship: Serve as a technical reference for Junior and Mid-level professionals, promoting knowledge sharing and best coding practices. **Requirements and Qualifications** ------------------------------ * Education: Bachelor’s degree completed in Actuarial Science, Statistics, Mathematics, Economics, Engineering, or related fields; * Experience: Minimum of 4 years of professional experience in this field or similar roles; * SQL and SAS: Intermediate; * Python, Git, and OOP: Advanced; * Statistical Modeling and Machine Learning: Advanced; * Data Wrangling and Data Visualization: Advanced; * Generative AI: Prompt Engineering and use of LLMs (see coding); * Strong initiative, results orientation, strategic mindset, technical leadership, flexibility, and excellent teamwork skills. **Additional Information** -------------------------- * Meal Allowance (R$ 997.70/month); * Food Allowance (R$ 771.13/month); * Sul América Health Insurance; * Sul América Dental Insurance; * Profit Sharing Program (PLR); * Alelo Christmas Basket Voucher (R$ 771.13); * Life Insurance; * Daycare or Babysitter Assistance (R$ 502.29 up to age 6); * 6-month maternity leave and 20-day paternity leave; * Birthday day off; * Early 13th salary payment in May. * TotalPass; OnHappy. * * **Work Model:** Hybrid * **Employment Type:** CLT * **Location:** Belo Horizonte/MG or São Paulo/SP **Hiring Process Steps** ---------------------- Step 1: Registration Step 2: Behavioral Assessment / Candidate Form Step 3: HR Interview Step 4: Technical/Manager Interview Step 5: Hiring
João Silva
Indeed · HR
João Silva
Indeed · HR
