Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field.
3+ years of experience in data science or advanced analytics, preferably in banking or financial services.
Proficiency in programming languages such as Python, R, or SQL.
Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, XGBoost).
Strong knowledge of data visualization tools (e.g., Power BI, Tableau).
Familiarity with banking products, customer behavior, and regulatory requirements.
Preferred Skills:
Experience with big data platforms (e.g., Hadoop, Spark).
Knowledge of financial risk modeling, credit scoring, or anti-money laundering (AML) analytics.
Understanding of cloud platforms (e.g., AWS, Azure, GCP).
Certification in data science or analytics (e.g., Microsoft Certified
Data Scientist, Google Data Engineer).