Analista de Analytics Pleno | Prevenção a Fraudes
Core
Build, evolve, and sustain analytical models, rules, and monitoring processes to prevent, detect, and mitigate financial and non-financial risks, focusing on internal fraud, external fraud, and money laundering prevention.
Role type
Mid-level analytics engineer (fraud prevention)
Builds
Data pipelines, transactional and customer alert systems, machine learning models, large-scale data processing, and management dashboards
Domain
Banking / Financial Services / Fraud Prevention
Deliverable
production ML models
Required skills
Advanced programming logic, Advanced SQL, Multivariate statistical analysis, Python or R, Data manipulation and analysis
Preferred skills
Banking sector experience, Generative AI tools, Automation tools
Technologies
Python, R, SQL, Machine Learning
Responsibilities
Manipulate and analyze data to validate hypotheses and generate risk decision insights; Create fraud prevention rules based on customer and product usage data; Improve existing rules to reduce false positives; Propose and track control indicators, dashboards, and process improvements
Seniority
Mid-level, hands-on IC
