Data Scientist / Senior Data Analyst
The Data Scientist will be responsible for building advanced analytics models, integrating legacy financial data with modern platforms, and supporting data-driven decision-making across multiple business lines.
Key Responsibilities:
- Analyze complex structured and unstructured data from legacy banking systems and modern data lakes.
- Design, develop, and deploy machine learning models to support predictive analytics and forecasting.
- Build and optimize data pipelines, ETL processes, and data quality frameworks.
- Create interactive dashboards and visualizations to support business intelligence initiatives.
- Collaborate with data engineering teams to migrate legacy datasets to modern platforms (Azure, Databricks, Snowflake).
- Work closely with risk, compliance, and operations teams to deliver actionable insights.
Required Skills:
- 5+ years of experience in data science, analytics, or related fields.
- Proficiency in Python, R, SQL, Spark, and Power BI/Tableau.
- Experience with data modeling, feature engineering, and statistical analysis.
- Understanding of data governance, metadata management, and regulatory compliance.
- Experience working with large, complex legacy data systems.