Top Tech Jobs & Startup Jobs in Charlotte, NC

Conduct auditing activities of model risk management, assess controls supporting model life cycle, and influence management's strategic direction.

Develop and deliver AI and Gen AI solutions, mentor other engineers, automate processes, and ensure compliance in an agile environment.

Responsible for defining architectural vision and solution for Business Products and Services. Key role in leading strategic data initiatives and designing Modern Data Platforms integrating Advanced Analytics and AI capabilities. Collaborates with stakeholders to ensure compliance with standards and supports implementation with architectural solutions.

The GFC Manager is responsible for managing compliance related to money laundering, fraud, and operational risk, analyzing data, and leading cross-functional initiatives.

Manages appraisal services for commercial real estate lending, including scoping, vendor management, and compliance evaluation. Supervises teams and resolves vendor issues.

Responsible for supporting analytical projects by extracting and transforming data, performing quantitative analysis, and delivering insights to business partners for informed decision-making.

Manage a team within Global Credit Operations focusing on Syndicated and Corporate Lending. Responsibilities include employee development, compliance with policies, and process improvements.

Responsible for transaction processing, reconciliation, and providing operations support for clients. Engages with clients for queries and quality service in finance operations.

Senior Quantitative Engineers at Bank of America design scalable software components for data analytics, collaborating with stakeholders to improve processes and build effective risk models.

The Quantitative Engineer Analyst will design and implement software components for data analysis and modeling, ensuring high-quality outputs and continuous improvement. They will collaborate with stakeholders, build big data pipelines, and produce documentation for models and tests.