Description
We are seeking an experienced Data Analyst/Scientist with 8-10 years of experience in Anti-Money Laundering (AML) model development. The ideal candidate should have a strong statistical background and a proven track record of developing quantitative models to support compliance and risk management initiatives. The role involves scenario threshold tuning and requires the ability to effectively document findings and present complex data insights to both technical and non-technical stakeholders.
Requirements
Responsibilities:
- Develop, validate, and enhance AML models using advanced statistical techniques.
- Perform scenario threshold tuning to optimize model performance and accuracy.
- Utilize quantitative methodologies to analyze large datasets and identify patterns indicative of suspicious activity.
- Prepare and present detailed documentation of model methodologies, assumptions, and results for internal reviews and external regulatory purposes.
- Collaborate with cross-functional teams to ensure model alignment with business objectives and regulatory requirements.
Core Requirements
- 8-10 years of experience in data analysis, quantitative modeling, and AML model development.
- Strong statistical background and proficiency in developing quantitative models for compliance and risk management.
- Experience in scenario threshold tuning for AML models.
Nice To Have Skills
- Excellent presentation and documentation skills, with the ability to convey complex technical concepts to diverse audiences.
- Experience in collaborating with cross-functional teams in a regulated financial environment.