Top Tech Jobs & Startup Jobs in Charlotte, NC

Advises on complaints-program business optimization by analyzing processes, data, risks, and root causes. Develops business requirements, acceptance criteria, controls, reporting, and recommendations; coordinates cross-functional initiatives, stakeholder approvals, training, and implementation. Supports governance, operational readiness, continuous improvement, and risk management while communicating findings to leadership and ensuring regulatory and compliance requirements are met.

Leads investment operations and middle-office activities, including complex security setup, trade data corrections, reconciliations, regulatory reporting, collateral processing, compliance monitoring, and security master data management. Investigates system and data issues, coordinates with asset managers, custodians, vendors, and internal stakeholders, supports audits and control testing, leads projects and system enhancements, and directs or mentors other analysts.

Directs end-to-end consumer credit card acquisition strategy across digital, partner, direct mail, retail, branch, and performance marketing channels. Leads funnel optimization from demand generation through activation, manages acquisition economics and portfolio quality, develops product and sales strategies, and partners with marketing, underwriting, risk, analytics, finance, and operations. Oversees executive reporting, regulatory compliance, product P&L, and a team of individual contributors.

Leads business, analytical, and technical support for legal operations applications and IT platforms. Oversees business analysis, application design, documentation standards, testing, controls, risk management, and process improvements. Guides application administration, system integrations, access controls, data flows, and team development while collaborating with stakeholders and information services.

Provides advanced business, analytical, and technical support for legal operations applications and IT platforms. Analyzes business requirements, workflows, risks, controls, and system solutions; leads documentation, testing, implementation, administration, and process improvements. Collaborates with stakeholders and information services, advises on application direction, establishes documentation and quality standards, and coaches team members. The role requires strong SQL or programming experience and low-code/no-code application development expertise.

Lead adoption and implementation of AI (including Generative AI) across the bank by developing, validating, and deploying scalable ML models within model risk frameworks. Scout external AI tools, collaborate with business and IT to productionize analytics, mentor junior data scientists, communicate results to nontechnical stakeholders, and ensure regulatory, risk, and compliance requirements are addressed.

Owns the agile team backlog and product vision for loan origination and enterprise data platforms supporting mortgage operations. Partners with business, technology, and delivery teams to define requirements, acceptance criteria, priorities, and delivery commitments. Uses data-driven decisions and OKRs to optimize value flow, manage risks, remove impediments, and improve processes. Requires strong stakeholder communication, Agile delivery knowledge, process engineering expertise, and banking regulatory awareness.

Leads audit data analytics, control testing, automation, visualization, and continuous reporting initiatives. Partners with audit and business teams to identify analytical opportunities, define use cases, execute data strategies, and deliver actionable insights. Develops dashboards and storytelling for complex audit objectives, advises leadership, supports risk identification, and drives data-informed recommendations. The role also guides analytics adoption, innovation pipelines, and transformation across assigned audit areas.

Develops, monitors, validates, and enhances AML and financial crime risk models using quantitative and statistical analysis. Assesses emerging risks, model performance, stress-testing results, and regulatory compliance. Communicates analytical findings to governance committees, auditors, regulators, and cross-functional stakeholders while supporting model governance and risk management strategies.

Advises business partners on third-party risk and compliance, including risk assessments, controls, due diligence, monitoring, regulatory requirements, examinations, and mitigation strategies. Communicates findings to governance committees and leadership, develops risk methodologies and reporting, supports AI, cybersecurity, IT, cloud, and data governance assessments, and formulates stress-test and contingency plans.