Senior Data Scientist
Core
Develop, validate, and optimize machine learning models for Anti-Money Laundering (AML) compliance, risk assessments, and transaction monitoring to fight financial crime.
Role type
Senior IC data scientist (AML compliance)
Builds
AML models, risk assessment frameworks, and management information dashboards
Domain
Financial services / AML compliance / Regulatory technology
Deliverable
production ML models | dashboards & analysis
Required skills
predictive modeling, SQL, Python, data quality validation, statistical analysis, model risk management, regulatory compliance
Preferred skills
AML regulations knowledge, data visualization, cloud data infrastructure, infrastructure automation, containerization
Technologies
SQL, Python, Tableau, DataDog, Monte Carlo, Snowflake, Verafin, LexisNexis, Terraform, Docker, Kubernetes
Responsibilities
Facilitate AML model development, implementation, optimization, assessment and validation; Architect and lead the design of advanced AML models utilizing machine learning and statistical modeling methods; Research, compile and evaluate large sets of data to assess quality, integrity and completeness; Ensure AML compliance and regulatory requirements are embedded in the model design; Lead governance and quality control across the full AML model lifecycle; Develop robust management information dashboards displaying real-time or near real-time AML metrics; Partner with the AML Governance Unit by providing necessary data for AML Risk Assessments and regulatory requirements
Seniority
Senior, hands-on IC