Fraud Analyst - Temporary

Description

Job Summary: We are seeking a professional to strengthen data exploitation and quality for fraud detection and prevention, as well as operational investigation of claims. Key Highlights: 1. Key role in fraud detection and prevention. 2. Working with data and statistical analysis in the insurance sector. 3. Collaborating with multidisciplinary teams to generate actionable insights. MISSION Reporting to the Fraud Unit within the Benefits Directorate, we require a candidate with the necessary knowledge and capabilities to strengthen the exploitation and quality of data (demographic, behavioral, claims-related, etc.) for fraud detection and prevention, as well as operational fraud investigation capabilities for claims. JOB RESPONSIBILITIES Process fraud-impacting data using statistical methods. Conduct preliminary analyses to detect fraud patterns based on claims experience, by defining use cases. Interpret results, identifying process and data strategy improvement opportunities. Prepare reports and dashboards. Perform analysis and monitoring of Fraud KPIs, and define the optimal technological solution to meet requirements. Identify trends and patterns in the data. Evolve developed models based on newly identified variables. Work with fraud investigators, data scientists, IT, and business stakeholders, leading data extractions, quality controls, normalization, cross-referencing of sources, and exploratory analyses that translate into actionable insights for fraud prevention, detection, and quantification. REQUIREMENTS Required Qualification – Bachelor’s degree (Mathematics, Statistics, Criminology, or related field). Professional Experience – At least one year of experience in the insurance sector, focused on fraud investigation; or at least one year of experience in data exploitation (extraction, analysis, reporting, dashboards, and conclusions). Knowledge Proficiency in data analysis tools. **Proficiency in relational database management (SQL):** joins, subqueries, aggregations, and basic tuning. Understanding of data modeling (entities/relationships, keys, basic normalization). **Proficiency in Python for data analysis:** pandas/numpy, file reading/writing, validations, logging, error handling, and small automation scripts. Knowledge of the insurance industry. Knowledge of fraud analytics and statistics. Ability to prepare reports and dashboards. Office Software – Microsoft Office suite, especially Excel (advanced level). English – Intermediate COMPETENCIES Strong learning ability Creativity Effective communicator with business acumen. Critical, analytical thinking, and proactive attitude. Communication skills, presentation skills, task coordination, and teamwork abilities. At Santalucía Seguros, we work to ensure real and effective equal opportunities, promoting professional development and workforce diversity, aligned with our commitment to UN Sustainable Development Goal 5 (Gender Equality) under the 2030 Agenda. **Province:** Madrid **Company:** SANTALUCIA SEGUROS **Date:** 17 Feb 2026