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Perform manual application and API penetration testing, validate SAST, SCA, and DAST findings, assess cloud security across AWS, Azure, and GCP, and identify vulnerabilities and misconfigurations. Integrate security into CI/CD pipelines, develop scripting and command-line tooling, support remediation and secure coding, participate in architecture reviews, and report security metrics. The role also uses CSPM capabilities and AI-enabled development and security assistants.

Supports Private Client Advisors in delivering investment solutions and financial planning for mass affluent clients. Assists with client management, referrals, needs-based sales, investment product delivery, and revenue growth. Builds partnerships with branch teams and centers of influence, supports cross-selling, works lead lists and books of business, and provides in-person branch services. Requires FINRA and state insurance licenses, with the ability to obtain them within the employer’s specified timeframe.

Trainee develops into a Private Client Advisor by completing required securities and insurance licensing. The role grows affluent client relationships, provides financial wellness conversations and comprehensive financial plans, delivers investment solutions, achieves sales and referral goals, and partners with branch personnel and centers of influence. Candidates must have the SIE upon hire and at least five years of financial sales experience.

Configures and optimizes DAST and API security scanning across applications, APIs, and CI/CD pipelines. Performs manual application penetration testing, validates SAST/SCA/DAST findings, assesses cloud security across AWS, Azure, and GCP, and develops scripting and CLI tooling. Partners with development, DevOps, and cloud teams to remediate vulnerabilities, improve secure coding, conduct architecture reviews, and track security metrics.

Supports Credit Risk Review through independent risk analysis, portfolio monitoring, reporting, dashboard development, automation, and process improvement. The role identifies emerging credit risks, trends, concentrations, and outliers; develops scalable analytical solutions; improves data quality and reporting efficiency; and prepares insights for senior management and governance committees. It partners with review teams and risk stakeholders to strengthen continuous monitoring, independent challenge, risk intelligence, and evidence-based oversight.

Owns the product experience and strategic direction for KeyBank’s commercial merchant acquiring products. The role leads partnership development, product commercialization, sales training, solution demonstrations, third-party integrations, reporting, and stakeholder collaboration. Responsibilities include working with processors and payment platforms, supporting revenue growth, managing product P&L, mitigating risk, identifying business opportunities, and influencing sales, marketing, technology, operations, finance, legal, compliance, merchants, and external partners.

Leads commercial client relationship management and business development across a geographic market. Advises clients on banking and financial solutions, drives deposits and profitability, manages credit underwriting and portfolio quality, identifies cross-selling opportunities, leads client reviews, coordinates internal product partners, and mentors junior relationship managers. The role requires strong commercial banking expertise, financial advisory skills, credit experience, and the ability to serve middle- to upper-market clients.

Owns product strategy, discovery, design, requirements, and roadmaps for KeyBank’s enterprise Generative AI platforms and AI Marketplace. Partners with business, engineering, architecture, governance, risk, security, and platform teams to evaluate emerging AI capabilities, define enterprise products, develop business cases, coordinate delivery, and guide adoption, enhancement, integration, consolidation, or retirement. Uses research, usage data, stakeholder feedback, and risk considerations to prioritize capabilities and prepare executive decisions.

Administers and modernizes the enterprise Microsoft 365 platform, with primary responsibility for Entra ID, Exchange Online, PowerShell automation, Microsoft Graph, identity governance, messaging, security, compliance, Teams, SharePoint, and OneDrive. Develops automation, provisioning, monitoring, documentation, and governance standards; leads troubleshooting, platform improvements, migrations, compliance initiatives, and roadmap planning while supporting secure collaboration and mentoring technical teams.

Develops and validates predictive and machine-learning models using statistical analysis, advanced mathematics, and large datasets. Responsibilities include hypothesis testing, root-cause analysis, data transformation, model implementation and monitoring, model risk management, and communicating insights to business and analytics partners. The role requires self-directed problem solving, collaboration, and continuous improvement of models and analytical processes.