Position Details

Salary $94K – $175K USD / year

Type Full-Time

Experience senior

Exp. Years 3+ years

Education Master's or Ph.D. in statistics, mathematics, economics, computer science, data sciences, predictive modeling

Category Data & Analytics

About this role

This role involves conducting quantitative modeling and analytics to detect and prevent financial crimes such as money laundering and fraud, leveraging advanced statistical and machine learning techniques.

Key Responsibilities

Perform quantitative modeling
Develop and maintain internal models
Evaluate large data sets
Test vendor solutions
Document model processes

Technical Overview

The technical environment includes statistical programming in SAS and Python, cloud-based data analysis, and model validation within a financial regulatory framework.

Ideal Candidate

The ideal candidate is a senior data scientist with 3+ years of experience in financial crimes, skilled in statistical and machine learning models, with proficiency in SAS and Python. They should have a strong understanding of AML/BSA/OFAC regulations and experience developing and validating models in a financial services environment.

Must-Have Skills

Master's or Ph.D. in statisticsmathematicseconomicscomputer sciencedata sciencespredictive modelingAt least 3 years of relevant experienceExperience with SAS and/or PythonKnowledge of financial crime regulatory requirementsTraditional and Machine Learning (ML)/Artificial Intelligence (AI) modeling

Nice-to-Have Skills

Experience with cloud-based computingExperience with distributed computingModel performance assessmentVendor solution testingReducing false positives

Tools & Platforms

SASPythonCloud computing platforms

Required Skills

Data ScientistQuantitative modelingFinancial crimesAMLBSAOFACSASPythonMachine LearningArtificial IntelligenceModel developmentVendor solutionsData analysisModel validationRegulatory requirements

Hard Skills

PythonSASStatistical modelingMachine LearningArtificial IntelligenceData analysisQuantitative modelingModel developmentVendor solutionsData gatheringModel validation

Soft Skills

CommunicationCollaborationTechnical skills developmentProblem-solvingDocumentation

Industry & Role

Industry Financial Services / Banking

Job Function Conduct quantitative modeling and analytics for financial crime compliance

Keywords for Your Resume

Data ScientistQuantitative modelingFinancial crimesAMLBSAOFACModel developmentMachine LearningArtificial IntelligenceSASPythonData analysisVendor solutionsModel validationRegulatory requirements

Deal Breakers

Lack of experience with SAS or Python, No relevant experience in financial crimes, Unable to relocate to Cleveland or Buffalo, No advanced degree in quantitative disciplines

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Financial Crimes - Senior Data Scientist

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