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Data Scientist - Banking Domain - AS TRADE LLC
Data Scientist
Data Scientist focused on banking analytics, building predictive models, and delivering insights from customer, transaction, and risk data using Python, SQL, and advanced machine learning techniques.
About the role
Key Responsibilities
- Analyze large banking datasets (customer, account, transaction, payment, lending, risk) to uncover trends and patterns.
- Develop and validate predictive models for credit risk, fraud detection, and customer segmentation using Python and machine learning libraries.
- Collaborate with business, analytics, BI, and technology teams to design data models and dashboards that drive data‑driven decision making.
- Perform statistical analysis, hypothesis testing, and A/B testing to support product and strategy initiatives.
- Communicate findings through clear visualizations and executive‑level reports.
Requirements
- Proven experience in data science within the banking or financial services sector.
- Strong programming skills in Python and proficiency with SQL for data extraction and manipulation.
- Hands‑on experience with machine learning frameworks (scikit‑learn, XGBoost, TensorFlow) and model deployment.
- Excellent data visualization skills using tools such as Tableau, Power BI, or matplotlib.
- Solid understanding of statistical methods and ability to translate complex analyses into actionable insights.
Skills
pythonsqlmachine learning