Job Summary
A company is looking for a Lead BSA Data Scientist to enhance compliance and anti-money laundering efforts through data analytics.
Key Responsibilities:
- Develop and implement machine learning models to identify potential money laundering and fraud risks
- Analyze large datasets to detect patterns, anomalies, and trends related to financial crime
- Enhance transaction monitoring systems using predictive analytics and AI-driven solutions
Qualifications:
- Bachelor's degree in data science, Computer Science, Statistics, Finance, or a related field
- 5 years of experience in data science, analytics, or financial crime prevention
- Strong knowledge of BSA, AML, KYC, and financial regulations
- Expertise in Python, R, SQL, and machine learning frameworks
- Experience with big data technologies such as Hadoop, Spark, or cloud-based analytics platforms
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