Senior Data Scientist Lead – AML & Financial Crime Analytics

Posted 7 Hours Ago
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Hiring Remotely in United States
Remote
Senior level
Insurance • Consulting
So many people use our platform
The Role
Lead design and deployment of machine learning and quantitative analytics for AML, fraud, sanctions screening, transaction monitoring, and customer risk scoring. Build end-to-end model pipelines, validate and monitor model performance, support model governance and regulatory reviews, collaborate with compliance and engineering teams, and mentor junior data scientists.
Summary Generated by Built In
Description

Matrix IFS is seeking a Senior Data Scientist Lead to drive the design and development of advanced analytics and machine learning solutions supporting Anti-Money Laundering (AML), Financial Crime, Fraud Detection, and Risk Management initiatives. This role combines deep expertise in data science, statistical modeling, and financial crime compliance to develop scalable analytical solutions that enhance risk detection, regulatory compliance, and operational efficiency.

Senior Data Scientist Lead – AML & Financial Crime Analytics

Key Responsibilities

Machine Learning & Model Development

  • Design, develop, deploy, and validate machine learning models for AML transaction monitoring, fraud detection, customer risk scoring, sanctions screening, customer segmentation, and anomaly detection.
  • Build scalable 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 continuous model refinement.

Advanced Analytics & Quantitative Modeling

  • Apply advanced statistical methods, predictive analytics, Bayesian modeling, and quantitative techniques to identify financial crime risks and emerging behavioral patterns.
  • Develop simulation models, risk assessment frameworks, and analytical methodologies to support regulatory compliance and business decision-making.
  • Analyze large, complex datasets to uncover actionable insights and improve detection effectiveness.

Financial Crime & Compliance Analytics

  • Develop 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 within AML, Financial Crime, Fraud Analytics, Risk Analytics, or Regulatory Compliance environments.
  • Hands-on experience supporting one or more of the following:
  • Anti-Money Laundering (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-scale structured and unstructured datasets.
  • Excellent communication skills with the ability to explain complex 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 complex 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.

Matrix is a global, dynamic, and fast‑growing technology services and consulting company with over 17,000 employees worldwide. Founded in 2001, Matrix has grown through significant organic expansion and strategic acquisitions, executing some of the largest and most impactful technology projects in the market.

We specialize in the design, development, and implementation of advanced technologies, software solutions, and digital 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, Healthcare, Hi‑Tech, Education, Defense, and Security—Matrix serves a strong customer base in Israel alongside a continuously expanding global client portfolio.

At Matrix, our people are at the heart of our success. We are a community of talented, creative, and dedicated professionals who are passionate about innovation and excellence. We actively attract, develop, and retain top talent, recognizing that every employee’s contribution is critical to our continued growth and future success.

Matrix’s success is built 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, continuous learning, and growth—together.

Join the winning team. Be challenged, grow your career, and enjoy the journey in a highly respected global organization.

To learn more, visit: www.matrix-ifs.com

Skills Required

  • Master's degree or higher in Data Science, Statistics, Mathematics, Computer Science, Economics, Engineering, or quantitative discipline
  • Proven experience developing ML and statistical models within AML, financial crime, fraud analytics, risk analytics, or regulatory compliance
  • Hands-on experience with Anti-Money Laundering (AML)
  • Hands-on experience with Know Your Customer (KYC) / Customer Due Diligence (CDD)
  • Hands-on experience with sanctions screening
  • Hands-on experience with transaction monitoring
  • Hands-on experience with fraud detection and prevention
  • Strong expertise in machine learning, predictive modeling, statistical analysis, and quantitative research
  • Experience working with large-scale structured and unstructured datasets
  • Excellent communication skills to explain complex 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 complex analytics initiatives
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The Company
HQ: Herzliya
37 Employees
Year Founded: 2000

What We Do

Matrix Global Services is an award-winning Insurance and Financial Advisory. Matrix delivers a unique portfolio of Insurance products and services that enable investors to access finance and to de-risk and enhance the security of their investments, through the application of proprietary insurance solutions that adjust and reduce risk. Matrix is an outcome led, insurance market solutions provider, the solutions that we create and deploy, credit enhance all types of complex transactions, enabling the efficient flow of global capital. The Matrix team possess an in-depth knowledge of, and strong and established connections to, the global markets for Insurance & (re)Insurance; we blend these capabilities with Financial and Capital Markets expertise, to assist our international clients with navigating complexity and opportunity. Within the M&A community, our specialists provide independent Insurance Due Diligence, insurance programme design and reconstruction, W&I Insurance and supporting transactional solutions that provide our M&A clients with assurance whilst also adding tangible value within the investment life cycle

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