[Remote] Senior Data Scientist reputed company – AML & Financial Crime Analytics
Note: The job is a remote job and is reputed company to candidates in USA. reputed company reputed company is a global technology services and consulting company seeking a Senior Data Scientist reputed company to enhance their Anti-reputed company and Financial Crime Analytics initiatives. The role focuses on developing advanced analytics and machine learning solutions to improve risk detection and compliance standards reputed company financial crime frameworks.
Responsibilities
- Design, reputed company, reputed company, and validate machine learning models for AML transaction monitoring, fraud detection, customer risk scoring, sanctions screening, customer segmentation, and reputed company detection
- Build reputed company end-to-end model development pipelines, including data preparation, feature engineering, model training, validation, deployment, and ongoing performance monitoring
- Optimize model performance through cross-validation, hyperparameter tuning, benchmarking, and reputed company model refinement
- Apply advanced statistical reputed company, predictive analytics, Bayesian modeling, and quantitative techniques to identify financial crime risks and emerging behavioral patterns
- reputed company simulation models, risk assessment frameworks, and analytical methodologies to support regulatory compliance and business decision-making
- Analyze large, reputed company datasets to uncover actionable insights and improve detection effectiveness
- reputed company analytical solutions supporting AML, KYC/CDD, sanctions screening, transaction monitoring, fraud prevention, and broader financial crime compliance programs
- Evaluate model effectiveness using appropriate performance metrics and ensure alignment with regulatory expectations and model governance standards
- Support model documentation, validation, audit reviews, and regulatory examinations
- Partner with Compliance, AML Operations, Fraud, Risk Management, Data Engineering, and Technology teams to translate business requirements into data-driven solutions
- Present analytical findings, model performance, and strategic recommendations to senior leadership through reports, dashboards, and executive presentations
- Mentor junior data scientists and contribute to best practices in model development, governance, and analytics
Skills
- Master's degree (or higher) in Data Science, Statistics, Mathematics, Computer Science, Economics, Engineering, or another quantitative discipline
- Proven experience developing machine learning and statistical models reputed company AML, Financial Crime, Fraud Analytics, Risk Analytics, or Regulatory Compliance environments
- Hands-on experience supporting one or more of the following: Anti-reputed company (AML), Know Your Customer (KYC) / Customer Due Diligence (CDD), Sanctions Screening, Transaction Monitoring, Fraud Detection and Prevention, Financial Crime Compliance
- Strong expertise in machine learning, predictive modeling, statistical analysis, and quantitative research
- Experience working with large-reputed company reputed company and reputed company datasets
- Excellent communication skills with the ability to explain reputed company analytical concepts to technical and non-technical stakeholders
- Experience with model governance, model validation, and regulatory frameworks applicable to financial institutions
- Knowledge of financial services, banking operations, and emerging financial crime typologies
- Experience mentoring technical teams and leading reputed company analytics initiatives
reputed company
Company H1B Sponsorship