Senior Data Scientist
Core
Develop and deploy advanced analytics and machine learning solutions for financial data, specifically focusing on fraud detection and financial crime applications.
Role type
Senior Data Scientist (Financial Crime/Fraud Detection)
Builds
Production ML models and scalable cloud-native solutions for financial risk analysis
Domain
Financial Services / Fraud Detection
Deliverable
production ML models
Required skills
Python (Pandas, NumPy, Scikit-Learn, PyTorch, TensorFlow), Machine Learning algorithms, Graph analytics, Cloud-native architecture, Financial data analysis
Preferred skills
Experience with fraud detection or financial crime applications
Technologies
Python, Pandas, NumPy, Scikit-Learn, PyTorch, TensorFlow, Cloud-native platforms
Responsibilities
Design and optimize machine learning models, Apply graph analytics to complex datasets, Develop scalable cloud solutions, Analyze large-scale financial data for fraud patterns, Integrate models into production environments, Research and enhance analytics pipelines
Seniority
Senior, hands-on IC
