AML Analyst (Fincrime)

Job Description :

Risk Analytics & Modeling : Develop and implement quantitative models to assess and mitigate risks associated with financial crime and sanctions.

Data Analysis : Conduct comprehensive data and trend analysis to identify patterns and anomalies that may indicate potential risks.

Technical Documentation : Create and maintain detailed technical documentation of methodologies, processes, and findings to ensure transparency and reproducibility.

Collaboration : Work closely with cross-functional teams to gather insights and share findings, fostering a collaborative environment.

Process Performance Measurement : Measure and evaluate the performance of risk management processes, recommending improvements asnecessary.

Research : Stay abreast of industry trends, regulatory changes, and emerging threats related to financial crime and sanctions.

Programming & Data Calibration : Utilize strong programming skills in R, Python, SAS, SQL, or other languages to productionize data sets and ensure data calibration for accurate analysis.

Test Engineering : Design and execute tests to validate the effectiveness of risk models and analytics.

Written Communications : Effectively communicate complex findings and recommendations through compelling narratives supported by data.