Key Responsibilities:

Build predictive models for credit risk, fraud detection, AML, and customer segmentation
Analyze large-scale banking data including transactions, customer profiles, and credit histories
Work with business teams (risk, compliance, marketing) to translate requirements into analytical solutions
Perform model validation, back-testing, and performance monitoring
Create dashboards and reports for business stakeholders and leadership
Strong programming in Python / R
Advanced SQL skills and experience with relational databases
Hands-on experience with machine learning & statistical modeling
Data visualization tools such as Power BI, Tableau
Experience with big data tools.
Fraud Detection & Anti-Money Laundering (AML, KYC)
Experience with cloud platforms (AWS, Azure, Google Cloud Platform)
Bachelor s or Master s degree in Data Science, Statistics, Mathematics, Finance, or related field

Data Scientist

Key skills