Master's Fellow – Data Scientist, Trade Surveillance, Anomaly Detection

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🕒 June 19

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Sistema Fibra

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1972

🤝 B2B

🤝 Non-profit

📚 Education

B2B • Non-profit • Education

Sistema Fibra is a civic organization based in Brasília that focuses on enhancing the competitiveness of industries and entrepreneurship through representation and support. It brings together various entities, including Sesi, Senai, and IEL, to promote industrial growth and workforce development in Brazil.

📋 Description

• End-to-end mapping of proprietary trading operations, including identification of critical points for trade surveillance • Development of a conceptual framework to define and prioritize CATCHs, indicators, and monitoring signals • Implementation of detection rules and application of analytical models, including advanced analytics and artificial intelligence, to identify atypical patterns and risky behaviors • Validation and calibration of CATCHs and models based on historical analyses • Structuring governance, documentation, and trigger workflows to integrate the framework into compliance routines

🎯 Requirements

• Master's degree (in progress or completed) • Degree in Computer Science, Computer/Software Engineering, Information Systems, Statistics, Applied Mathematics, Electrical Engineering, Data Science, or related fields in the Exact Sciences and Engineering • Programming and data manipulation: Python or R • SQL for querying and processing datasets • Experience with Pandas, NumPy, or similar libraries • Applied statistics and exploratory data analysis • Construction of rule-based detection/heuristics • Basic model evaluation (precision, recall, etc.) • Knowledge of advanced modeling and AI: supervised and unsupervised Machine Learning • Anomaly detection techniques (outlier detection, clustering, etc.) • Experience applying models to fraud, risk, or surveillance use cases • Data engineering/architecture: distributed processing (Spark, Databricks, or equivalent) • Building data pipelines • Integration with corporate environments (APIs, cloud)

🏖️ Benefits

• Stipend: R$ 9,000.00 • Availability: 40 hours per week • Work arrangement: Remote