Top Tech Jobs & Startup Jobs

Manage and deepen a portfolio of approximately 100 large business clients through deposit acquisition, cash management, credit opportunities, client retention, referrals, and customized financial advice. Build senior-level relationships with business owners, identify banking and personal financial solutions, coordinate treasury product delivery, support credit deals, and ensure regulatory compliance, profitability, and effective risk management.

Manage and grow a portfolio of 70–90 small-business clients with annual revenues of $1–5 million. Provide customized banking, deposit, cash management, credit, and financial solutions while balancing client needs, profitability, and risk. Acquire new clients, conduct relationship-development calls, coordinate referrals to internal specialists, support assigned branches, and follow regulatory and risk-management requirements.

Leads Global Investigations Operations, overseeing fraud alert intake, triage, case administration, investigative support, process transformation, AI and automation modernization, governance, quality assurance, KPIs, staffing, and cross-functional partnerships. The role redesigns SAR-related workflows, establishes operational controls, improves service performance, enables technology enhancements, and delivers consistent, auditable investigative operations across the firm.

Independently execute small-to-medium reliability projects, write maintainable code, triage and resolve incidents, remove operational toil, maintain cloud infrastructure, implement observability and SLOs, use enterprise-authorized AI for troubleshooting and post-incident analysis, and collaborate across teams to improve reliability and CI/CD practices.

Lead a team of ML engineers building and operating scalable risk features, data pipelines, supervised and unsupervised models, LLM solutions, and explainability systems for financial crime monitoring. Responsibilities include productionizing ML applications, monitoring drift and bias, optimizing performance, developing Databricks pipelines, and collaborating with product, SRE, compliance, and operational teams.

Leads hands-on architecture and implementation of production-grade generative AI systems, including search, conversational AI, and agentic workflows. Designs retrieval pipelines, orchestration, dialogue management, and scalable backend systems while optimizing latency, reliability, observability, cost, and evaluation. Serves as the senior technical authority for LLM-powered applications, establishes engineering standards, conducts design and code reviews, mentors engineers, and partners with product and business stakeholders. The role requires deep software engineering, AWS, distributed systems, and regulated-environment experience.

Supervise Wealth Management financial advisors through account and book reviews, risk analysis, regulatory oversight, and escalation management. Monitor productivity, identify compliance issues and customer-impacting trends, refine review processes, update procedures, and ensure adherence to securities regulations and fiduciary requirements. Lead staff development, performance evaluations, recruiting, and retention while partnering with senior leaders and review teams to resolve complex issues. The role requires direct engagement with advisors and clients and travel up to 50% of the time.

Manages a portfolio of 70–90 small-business clients, acquiring and retaining relationships while providing customized banking, deposit, cash management, credit, and financial solutions. Conducts in-person client and prospect meetings, identifies business and personal financial needs, connects clients with specialists, and supports branch growth. Applies business credit, finance, and risk-management knowledge while following regulatory requirements and protecting the firm’s interests.

Execute compliance and operational risk testing, evaluate control design and effectiveness, identify gaps, apply analytical problem-solving, improve testing methodologies, and collaborate with stakeholders to support a strong control environment.

Develop and improve identity data products covering verification, resolution, identity graphs, and consent management. Partner with technology, design, modeling, and data teams to execute roadmaps, measure product health and business outcomes, establish governance and privacy controls, manage identity data risks, and communicate strategy and tradeoffs to senior stakeholders.