Develop AI/ML models for financial use cases such as credit scoring, anomaly detection, or portfolio optimization.
Key Responsibilities:
Design, develop, and validate machine learning models
Collaborate with business and product teams to translate use cases
Conduct exploratory data analysis and feature engineering
Qualifications:
Master's or Ph.D. in Data Science, Statistics, or similar
Experience in Python (pandas, scikit-learn, TensorFlow)
* Strong understanding of financial data and modeling
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