Senior Data Scientist PLD – Python & PySpark (Ciudad de México, Cuauhtémoc)
Core
Designing and implementing algorithms to detect and prevent unusual behaviors related to Large Value Transfer (PLD) by analyzing transactional and operational data.
Role type
Senior Data Scientist (Financial Risk & Compliance)
Builds
Production ML models and analytical solutions for anomaly detection in large value transfers
Domain
Banking / Financial Services / Risk Management
Deliverable
production ML models | dashboards & analysis
Required skills
Python, PySpark, SQL, Anomaly Detection, Statistical Modeling, Data Validation, Data Reconciliation, Storytelling with Data
Preferred skills
Machine Learning (Supervised/Unsupervised), Power BI/Tableau, Cloud environments, Git/CI/CD, Financial regulations knowledge
Technologies
Python, PySpark, SQL, Power BI, Tableau, Amazon QuickSight
Responsibilities
Design algorithms for detecting unusual PLD behaviors; Analyze large volumes of transactional data to identify risk patterns; Validate and reconcile reported figures across platforms; Document methodologies, business rules, and data lineage; Communicate analytical results to technical and business stakeholders; Collaborate with Risk, Compliance, and Data teams to ensure actionable solutions.
