Position Details

Type Full-Time

Experience lead

Exp. Years 7+ years

Education Bachelor's Degree in relevant field of study or equivalent

Category Data & Analytics

About this role

Lead data science initiatives for intelligent fraud operations within Ally's Financial Crimes organization. Own end-to-end problems from framing to deployment and impact measurement, partnering with cross-functional teams to strengthen fraud prevention and customer experience.

Key Responsibilities

Partner with Fraud Program pillars to translate challenges into innovation opportunities
Develop and maintain the roadmap for intelligent fraud operations
Establish governance frameworks in partnership with Legal and Risk
Deploy countermeasures and monitoring techniques across fraud lifecycle
Communicate findings to stakeholders and drive alignment

Technical Overview

Focus on AI/ML-driven fraud capabilities, governance and risk; familiarity with case management platforms, data/ML stacks, model monitoring, LLM prompting, and workflow orchestration; productionize models and build scalable data pipelines.

Ideal Candidate

The ideal candidate is a lead data scientist with 7+ years of fraud analytics/data science experience, strong capabilities in AI/automation, and hands-on exposure to intelligent fraud operations across the lifecycle. They should be adept at partnering with cross-functional teams, defining governance for AI/automation, and translating complex insights into practical fraud prevention strategies.

Must-Have Skills

7+ years of relevant experienceBachelor's Degree in relevant field of study or equivalentExperience across multiple points in the fraud lifecycle (onboardingauthenticationtransaction monitoringand operations)

Nice-to-Have Skills

5+ years of experience in fraud preventionfinancial crimes or risk management within bankingfintechpayments or a fraud technology vendorExposure across multiple fraud lifecycle areasStrong understanding of emerging technologies shaping fraud operations (MLgenerative AIautomation)Ability to translate insights into practical solutions

Required Skills

fraud analyticsdata scienceartificial intelligenceautomationcase management platformsdata/ML stacksmodel monitoringLLM integration/promptingworkflow orchestrationgraph/link analysis toolsbankingregulatory governancerisk management

Hard Skills

Case management platformsdata/ML stacksmodel monitoringLLM integration/promptingworkflow orchestrationgraph/link analysis toolsfraud preventionfraud detectionautomationAI

Soft Skills

Strategic thinkingCross-functional collaborationCommunicationProblem-solvingLeadershipStakeholder management

Industry & Role

Industry Fintech

Job Function Own end-to-end data science initiatives to strengthen fraud prevention and operational efficiency across the lifecycle

Role Subtype lead data scientist

Tech Domains Python, SQL / PostgreSQL, Tableau, Power BI, SAS

Clearance & Visa

Visa Sponsorship No

Keywords for Your Resume

Principal Data ScienceIntelligent Fraud Operationsfraud preventionfraud detectionfinancial crimesbankingAIautomationLLM integration/promptingcase management platformsdata/ML stacksmodel monitoringworkflow orchestrationgraph/link analysis toolsgenerative AIprincipal data scientistrisk managementregulatory defensiblegovernanceoperational excellencedata science

Deal Breakers

7+ years of relevant experience is required, Bachelor's degree is required, Willingness to work in hybrid in specified Ally locations

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