Position Details

Type Full-Time

Experience senior

Exp. Years 5+ years

Education Master's degree in statistics, mathematics, economics, computer science, data sciences, predictive modeling, or related quantitative discipline

Category Data & Analytics

About this role

Senior Data Science Manager leads a quantitative team in financial crime modeling and analytics; sets priorities, assigns work, and influences data strategy to meet AML/BSA/OFAC needs; communicates with senior partners to drive impact.

Key Responsibilities

Oversee a small quantitative team (2-4 direct reports) in developing models and analytics to address financial crime needs in AML/BSA/OFAC
Research, compile and evaluate large data sets for model building
Develop/maintain internal models and test/config vendor solutions
Employ innovative techniques to improve model effectiveness and efficiency
Coach and develop the team; partner with compliance, technology, and risk

Technical Overview

Proficiency in SAS and Python; SQL/NoSQL databases; cloud-based and distributed computing; modeling practices and ML/AI methods including GenAI; regulatory and data governance knowledge.

Ideal Candidate

The ideal candidate is a senior data science leader with 5+ years in financial crime modeling/analytics, strong SAS/Python, ML/AI and GenAI experience, and proven leadership of a quantitative team; able to translate complex analytics into strategic guidance for executives.

Must-Have Skills

Master's degree (or its equivalent) in statisticsmathematicseconomicscomputer sciencedata sciencespredictive modelingor other quantitative disciplines5+ years of relevant experiencepreferably AML/BSAOFACor fraud modeling/analyticsHands-on work experience with statistical coding in SAS and/or PythonKnowledge of cloud-based computing and distributed computing

Nice-to-Have Skills

Experience with Generative AI (GenAI)Experience with cloud-based data platformsStrong data governance and regulatory knowledgeProven team management experience

Required Skills

["Master's degree in statisticsmathematicseconomicscomputer sciencedata sciencespredictive modelingor other quantitative disciplines"'5+ years of modeling/analytics experience (AML/BSA/OFAC or fraud modeling)''SAS and/or Python''SQL/NoSQL''Cloud-based computing''Distributed computing''ML/AI and GenAI''Data strategy and regulatory requirements''Leadership and communication']

Hard Skills

SASPythonSQLNoSQLCloud-based computingDistributed computingModel building & maintenanceML/AIGenAI

Soft Skills

verbal and written communicationvisual communicationleadershipstakeholder management

Industry & Role

Industry Banking

Job Function Lead financial crime modeling and analytics program, guiding the data science team and aligning with regulatory requirements.

Role Subtype Data Science Manager

Tech Domains Python, SQL / PostgreSQL, SAS, Cloud computing, Distributed computing

Keywords for Your Resume

Sr. Data Science ManagerFinancial CrimesAMLBSAOFACmodelingMLAIGenAISASPythonSQLNoSQLcloud-based computingdistributed computingdata analyticsleadershipstakeholder communicationregulatory requirements

Deal Breakers

Master's degree required

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