| Data Scientist Anti Money Laundering project at New York City, New York, USA |
| Email: [email protected] |
| From: Jyothi, NCS [email protected] Reply to: [email protected] Hi, Hope youre doing great today, This is Jyothi from National Computer Systems Inc. Role : Data Scientist Anti Money Laundering project. Location : New York City, NY Duration: Long Term Contract Position Overview: We are seeking a highly skilled and motivated individual to join our banking client's team as an AML Model Development Analyst. The successful candidate will play a crucial role in developing and implementing Anti-Money Laundering (AML) models to enhance our financial security measures. As part of our dynamic and innovative team, you will contribute to the ongoing efforts to detect and prevent money laundering activities while ensuring compliance with regulatory standards. Key Responsibilities: Model Development: Develop, implement, and optimize AML models and algorithms to enhance the effectiveness of transaction monitoring and customer due diligence. Utilize advanced statistical and machine learning techniques to create predictive models that identify suspicious activities. Data Analysis: Analyze large datasets to identify patterns, trends, and anomalies indicative of potential money laundering activities. Collaborate with data scientists and analysts to ensure the accuracy and reliability of data used in model development. Model Validation: Conduct thorough validation processes to ensure the robustness and effectiveness of AML models. Collaborate with the compliance team to address any issues identified during the validation process. Regulatory Compliance: Stay current on industry trends, regulatory changes, and best practices related to AML and fraud detection. Ensure all AML models and processes comply with relevant regulatory requirements. Collaboration: Work closely with cross-functional teams, including risk management, compliance, and technology, to implement AML solutions and address emerging threats. Provide expertise and support to internal stakeholders on AML model-related matters. Qualifications: Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Data Science, or a related discipline. Proven experience in developing and implementing AML models within the banking or financial services industry. Strong programming skills in languages such as Python, R, or SAS. Familiarity with machine learning algorithms, statistical modeling, and data analysis techniques. Excellent understanding of AML regulations and compliance requirements. Effective communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. Strong problem-solving skills and attention to detail. Keywords: rlang New York |
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| Wed Mar 13 20:44:00 UTC 2024 |