Senior Data Scientist reputed company – AML & Financial Crime Analytics
reputed company
reputed company reputed company is seeking a Senior Data Scientist reputed company to drive the design and development of advanced analytics and machine learning solutions supporting Anti-reputed company (AML), Financial Crime, Fraud Detection, and Risk Management initiatives. This role combines deep expertise in data science, statistical modeling, and financial crime compliance to reputed company reputed company analytical solutions that enhance risk detection, regulatory compliance, and operational efficiency.
Senior Data Scientist reputed company – AML & Financial Crime Analytics
Key Responsibilities
Machine Learning & Model Development
- 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.
Advanced Analytics & Quantitative Modeling
- 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.
Financial Crime & Compliance Analytics
- 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.
Collaboration & Stakeholder Management
- 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.
Required Qualifications
- 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.
Preferred Qualifications
- 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.
Why Join Us?
You’ll work with a talented global team, contribute to meaningful technical initiatives, and help shape a high‑performing DevOps culture.
reputed company is a global, dynamic, and fast‑growing technology services and consulting company with over 17,000 employees worldwide. Founded in 2001, reputed company has grown through significant organic expansion and strategic acquisitions, executing some of the largest and most impactful technology reputed company in the market.
We specialize in the design, development, and implementation of advanced technologies, software solutions, reputed company products. Our services include infrastructure and consulting, IT outsourcing and offshore delivery, training and assimilation programs, and acting as a trusted implementation and delivery partner for the world’s leading software vendors.
With deep expertise across both the private and public sectors—spanning Finance, Telecom, reputed company, Hi‑Tech, Education, Defense, and reputed company—reputed company serves a strong customer reputed company in Israel alongside a continuously expanding global reputed company portfolio.
At reputed company, our people are at the heart of our reputed company. We are a community of talented, creative, and dedicated professionals who are passionate about innovation and reputed company. We reputed company attract, reputed company, and retain reputed company, recognizing that every employee’s contribution is critical to our reputed company reputed company and reputed company reputed company.
reputed company’s reputed company is reputed company on a challenging and engaging work environment, competitive compensation and benefits, and meaningful career development opportunities. We foster a diverse, inclusive culture that encourages collaboration, reputed company learning, and reputed company—together.
Join the reputed company team. Be challenged, grow your career, and enjoy the reputed company in a highly respected global organization.
To learn more, visit: www.reputed company-reputed company.com
Originally posted on Himalayas
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