Analista de Dados Atuariais

Apex América Brasil; São Paulo; Presencial; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

Uma empresa de serviços financeiros está em busca de um Analista de Dados Atuarial para desenvolver, manter e otimizar modelos e ferramentas analíticas. O candidato ideal deve ter um forte conhecimento técnico em Python, R e SQL, e experiência em bancos de dados NoSQL, Power BI e Excel. A vaga é de período integral e está localizada em São Paulo, SP.

Qualificações

• Experiência entre 3 e 5 anos na área atuarial.
• Habilidade em automação de processos e cálculos atuariais usando Python.
• Capacidade de comunicar resultados técnicos a partes interessadas não técnicas.

Responsabilidades

• Desenvolver e manter modelos atuariais e processos baseados em dados.
• Implementar e aprimorar processos de fechamento mensal e cálculos de alteração de taxas.
• Colaborar com equipes para otimizar o desempenho de modelos.

Conhecimentos

Python

R

SQL

Power BI

Excel

Comunicação

Atenção aos detalhes

Ferramentas

NoSQL

Descrição da oferta de emprego

We are seeking a hands‑on Actuarial Data Analyst to develop, maintain, and optimize actuarial models, processes, and analytical tools. This role will work closely with actuaries and other stakeholders to support month‑end processes, rate change calculations, and ad‑hoc analyses, serving as a liaison between the Information technology team and the actuarial team. The ideal candidate has a strong technical background in Python, R, and SQL, with experience in NoSQL databases, Power BI, and Excel. This role requires a mix of actuarial analysis and data modeling skills, ensuring accuracy and efficiency in delivering data‑driven insights.

Key Responsibilities & Maintenance

• Develop and maintain actuarial models and data‑driven processes using Python, R, and SQL to support insurance pricing, reserving, and risk management.
• Implement and enhance month‑end processes, rate change calculations, and ad‑hoc analyses with a focus on completeness, accuracy, and consistency to ensure data is of the highest quality.
• Work with the Actuarial and Financial Planning and Analysis (FP&A) teams to automate and improve model performance using Python‑based scripting and automation.
• Ensure accuracy, consistency, and efficiency of actuarial models and methodologies.
• Support reserving analysis to estimate unpaid claim liabilities primarily in partnership with internal and external actuaries.
• Develop and maintain loss development triangles and incurred but not reported (IBNR) calculations both based on financial and operational data (e.g., claims closing ratios).
• Support the development and validation of actuarial assumptions for pricing, reserving, and forecasting.
• Develop and regularly report on rate change calculations including bifurcation of exposure changes from pure rate by line of business.
• Conduct stress testing and scenario analysis to assess financial impacts.
• Develop, update, and maintain models for predictive analytics, profitability analysis, and business planning.
• Assist in forecasting financial performance and evaluating risk exposure. Data Management & Analysis
• Write complex queries in SQL to extract and transform data, leveraging Python for advanced data processing and automation.
• Build queries with a controls‑oriented focus to ensure accuracy, completeness, Analyze large datasets using Python libraries such as Pandas and NumPy to identify trends, patterns, and opportunities optimization.
• Develop and implement Python scripts to automate data processing, actuarial calculations, and reporting workflows.
• Work closely with the Actuarial and FP&A teams to support financial planning, forecasting, and profitability analysis by providing robust data models and insights.
• Partner with Data Engineers to optimize data workflows and ensure seamless data ingestion.
• Communicate technical results and methodologies to non‑technical stakeholders in a clear and concise manner.
• Local de trabalho : São Paulo, SP
• Regime de contratação de tipo : Efetivo – CLT
• Jornada : Período Integral
• Nível hierárquico : Especialista

VALORIZADO

Tempo de experiência : Entre 3 e 5 anos

HABILIDADES

• Excellent communication and interpersonal skills.
• Strong attention to detail and commitment to delivering high‑quality work.
• Proficiency in Power BI and Excel for data visualization and reporting.