Top Tech Jobs & Startup Jobs in Charlotte, NC

Supports credit underwriting and monitoring for infrastructure finance transactions. Analyzes financial statements, projections, industry data, collateral, covenants, transaction structures, and stress scenarios; evaluates risks and creditworthiness; prepares approval documentation; monitors portfolios; reviews compliance with policies and regulations; and collaborates with credit, risk, legal, and market partners.

Performs advanced analysis of financial, market, and portfolio data to improve risk, profitability, forecasting, and operational performance. Develops scalable reporting and analytics solutions, identifies trends, translates complex data into strategic recommendations, and leads performance reporting for senior management. Partners with Risk, Product, Operations, and other cross-functional teams on strategic initiatives. The role also evaluates fraud risk and develops mitigation strategies.

Leads digital money movement fraud and scam strategy projects, coordinating cross-functional teams across product, technology, risk, compliance, legal, operations, and vendors. Develops fraud prevention strategies, analyzes portfolio trends, identifies data gaps, manages risk controls, oversees system integrations, and drives proof-of-concept initiatives. The role also includes stakeholder management, project planning, reporting, funding coordination, senior leadership communication, and coaching employees.

Operate and improve application security assessment and scanning programs across a global follow-the-sun team. Execute vulnerability scans, triage findings and false positives, support incident response, verify remediation, assist application teams, test emerging scanning technologies, and optimize scanning platform resiliency. The role also supports AI testing harnesses, vulnerability detection gap analysis, data and trend analysis, workflow integrations, and enterprise security strategy.

Analyzes business processes, data flows, operational controls, and risk indicators to identify data quality issues, process inefficiencies, control gaps, and operational risks. Develops dashboards, reports, and visualizations; applies analytics, automation, AI, and quantitative techniques; and partners with business, risk, finance, technology, operations, and audit stakeholders on issue resolution, governance, and continuous improvement.

Performs complex fraud analytics and financial modeling for money movement products. Uses SAS, SQL, Excel, Tableau, and databases to evaluate fraud risk, develop mitigation strategies, improve portfolio performance, and recommend policy changes. Leads reporting, strategy requirements, testing, and rollout activities, supports biometrics enhancements, and helps implement machine learning capabilities while communicating recommendations to senior management.

Conducts market-risk stress testing, quantitative modeling, statistical analysis, and model risk management while designing data and AI platforms for risk organizations. Builds prototypes, data pipelines, APIs, governance workflows, and GenAI solutions using modern data architectures. Defines target-state architectures, supports data strategy, evaluates emerging technologies, manages remediation programs, and partners with stakeholders and senior leadership to deliver reporting, analytics, and AI capabilities.

Manages end-to-end governance of global financial crimes surveillance analyses, including intake, prioritization, quality controls, risk monitoring, stakeholder reporting, escalation, and remediation. Provides credible challenge to analytical methodologies and conclusions while coordinating with surveillance, investigations, sanctions, fraud, technology, data, and risk teams. Supports development of financial crime typologies, analytical capabilities, and operating practices.

Manages process improvement and transformation initiatives supporting operational excellence and strategic goals. Defines process objects, maintains process and capability taxonomies, translates operational needs into enterprise capabilities, and supports future-state solution design. Partners with business, operations, technology, architecture, and transformation teams to develop reusable solutions, manage change governance, improve controls and efficiency, and align technology strategy with business requirements.

Designs and deploys enterprise database platform services, develops Terraform and Ansible Infrastructure-as-Code solutions, and automates complex implementations. Collaborates with engineering and platform teams to improve reliability, resiliency, and efficiency while promoting DevOps practices and continuous improvement. Implements database lifecycle management within PaaS pipelines and supports technologies including Linux, containers, Kubernetes, OpenShift, Redis, MongoDB, SingleStore, and CockroachDB.