Top Tech Jobs & Startup Jobs in Charlotte, NC

Develop, implement, and tune real-time fraud detection rules; analyze fraud trends and rule performance; support investigations and reporting; collaborate with Product, Engineering, and Operations to reduce losses and false positives while ensuring governance and compliance.

Provide operational and strategic risk guidance and oversight for Personal Wealth, identify and prioritize risks, advise on mitigation and controls, lead risk strategy execution, partner on new product implementations, evaluate control effectiveness, and support divisional leadership with analysis and relationship-driven risk advice.

Design, develop, test, deploy, and support enterprise applications and databases. Translate business requirements into maintainable code, integrate third-party solutions, participate in design and code reviews, resolve complex technical issues, mentor junior staff, and ensure compliance with IT and security policies.

Lead a team of Machine Learning Engineers building, operating, and evolving production AI, machine learning, and generative AI solutions. Own model delivery, monitoring, reliability, observability, MLOps, LLMOps, DevOps, and FinOps practices. Partner with data science, product, methodology, and business teams to operationalize financial advice and personalization models. Provide architecture and technical direction while hiring, coaching, and developing engineering talent.

Provides tax legal advice to Vanguard’s global asset management business, including finance, investment management, strategy, and international teams. Ensures products, transactions, policies, and activities comply with applicable tax laws and regulations. Represents the organization in significant legal proceedings, monitors regulatory and legislative developments, manages outside counsel, and supports special projects while collaborating with business leaders and legal colleagues.

Lead advanced analytics and modeling efforts: develop queries, prepare data, design and validate predictive and prescriptive models, mentor junior staff, engage stakeholders, deliver insights and recommendations, and apply modern data science and big-data techniques across business functions.

Define and own fraud prevention strategy for real-time payment channels by designing/managing rules and decision logic, partnering with Product/Engineering/Risk/Operations, leveraging analytics and models to tune controls, reduce false positives, and ensure governance and regulatory adherence while driving platform enhancements.

Leads the design and development of enterprise cloud, data, and agentic AI solutions using AWS, Amazon Bedrock, LLMs, RAG, and orchestration frameworks. Builds intelligent search, knowledge retrieval, data pipelines, APIs, automation, and infrastructure-as-code capabilities. Establishes architecture and technical standards, ensures security and scalability, collaborates across business and engineering teams, and mentors engineers.

Configure, test, deploy, optimize, and support Workday Core HCM solutions. Manage business processes, organizations, security, calculated fields, condition rules, notifications, and staffing structures. Translate business requirements into scalable configurations, maintain governance and documentation, support releases and data integrity, troubleshoot complex issues, and collaborate with HR, technology, security, reporting, integration teams, and vendors.

Leads the strategic vision and roadmap for debit card fraud prevention products, including transaction-level controls and real-time fraud interdiction throughout the card lifecycle. Defines product features, requirements, markets, and implementation plans; collaborates with engineering and cross-functional stakeholders; resolves production issues; improves client experience through qualitative and quantitative analysis; and coaches technical product teams toward effective delivery practices.