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Principal Data Science - Intelligent Fraud Operations

Ally
FULL_TIME Remote · US Charlotte, NC, Mecklenburg, US USD 110000–180000 / month Posted: 2026-05-11 Until: 2026-07-10
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Job Description
Ally and Your Career Ally Financial only succeeds when its people do - and that’s more than some cliché people put on job postings. We live this stuff! We see our people as, well, people - with interests, families, friends, dreams, and causes that are all important to them. Our focus is on the health and safety of our teammates as well as work-life balance and diversity and inclusion. From generous benefits to a variety of employee resource groups, we strive to build paths that encourage employees to stretch themselves professionally. We want to help you grow, develop, and learn new things. You’re constantly evolving, so shouldn’t your opportunities be, too? Work Schedule: Ally designates roles as (1) fully on-site, (2) hybrid, or (3) fully remote. Hybrid roles are generally expected to be in the office a certain number of days per week as indicated by your manager. Your hiring manager will discuss this role's specific work requirements with you during the hiring process. All work requirements are subject to change at any time based on leader discretion and/or business need. The Opportunity In office role, hybrid schedule. Ally work locations Charlotte NC, Fort Washington PA, or Lewisville TX At this time, Ally will not sponsor a new applicant for employment authorization for this position. The Principal of Intelligent Fraud Operations serves as the master collaborator across the Financial Crimes organization, helping shape how emerging technologies and intelligent automation are responsibly applied to strengthen fraud prevention, detection, and operational response while supporting an exceptional customer experience. This role focuses on evolving how fraud work is performed across the lifecycle, partnering with Fraud Strategy & Analytics, Operations, Technology, Risk and Legal teams to identify opportunities where intelligent capabilities can improve fraud outcomes, increase operational effectiveness, and reduce unnecessary customer friction. As the discipline continues to evolve, this role will help define practical standards and governance approach for the responsible use of AI and automation in fraud processes, ensuring new capabilities are operationally effective, regulatory defensible, and aligned with enterprise risk expectations. The Work Itself Partner across the Fraud Program pillars as well as broader Financial Crimes enablement teams to translate challenges into innovation opportunities. Work collaboratively with leaders to ensure new capabilities align with existing strategies and analytical insights. Support the responsible adoption of intelligent capabilities by coordinating across teams while respecting functional ownership. Develop and maintain the roadmap for intelligent fraud operations. Establish and socialize standards and governance frameworks in partnership with Legal and Risk. Champion shared intelligence and capability reuse across fraud functions to accelerate learning, reduce duplication and strengthen enterprise defenses. Minimum Qualifications The Skills You Bring 7+ years of relevant experience Bachelor's Degree in relevant field of study or equivalent Preferred Qualifications 5+ years of experience in fraud prevention, financial crimes or risk management within banking, fintech, payments or a fraud technology vendor, with exposure across multiple points in the fraud lifecycle such as onboarding, authentication, transaction monitoring, and operations. Bachelor's degree in relevant field or equivalent practical experience. Technical familiarity (preferred): Case management platforms, data/ML stacks, model monitoring, LLM integration/prompting, workflow orchestration, graph/link analysis tools. Deep specialization in a single area is not required, but candidates should demonstrate a broad awareness of how controls interact across the lifecycle. Practical understanding of emerging technologies shaping fraud operations, including ML, generative AI, automation and agentic systems. Clear on strengths, limits, and explainability needs. Strong analytical thinking with the ability to connect fraud patterns, operational processes and control effectiveness to identify improvement opportunities. Ability to design or influence future-state operating models, tooling, or workflows that improve how fraud work is performed across the lifecycle. Comfort operating in evolving spaces where playbooks are not yet defined. Ability to proactively explore ideas and translate insights into documented practical solutions. Excellent communication skills with the ability to explain complex concepts to both technical and non-technical stakeholders. Exp