Top Tech Jobs & Startup Jobs

Lead controls and compliance activities for Securities Services, perform risk assessments, design and evaluate operational controls, manage related projects, analyze risk data for senior leadership, coordinate audits and regulatory reviews, and keep controls aligned with firmwide standards and regulatory changes.

Process and validate complex voluntary corporate action events, including mergers, repurchase offers, exchange offers, and optional dividends. Monitor announcements across multiple sources, perform control checks, resolve operational issues, coordinate with internal stakeholders, publish performance metrics, escalate risks, and support process improvements through standardization and automation.

Lead secure software and cloud platform engineering across design, development, testing, troubleshooting, automation, and operational stability. Build production solutions using Python, Terraform, and Azure; apply cloud architecture patterns for identity, networking, compute, and management. Lead architectural evaluations, vendor engagements, engineering communities, and adoption of AI-assisted development practices. Establish secure validation standards and coach teams on responsible AI use, cloud integrations, resiliency, and security.

Manage and deepen a portfolio of approximately 100 established business clients with revenues above $5 million. Provide customized deposit, cash management, credit, treasury, and financial solutions; retain clients, acquire deposits, generate referrals, and grow primary banking relationships. Advise business owners, coordinate with branch, wealth management, and product teams, support credit opportunities up to approximately $15 million, and maintain risk management and regulatory controls.

Leads software engineering and AI/ML delivery for large-scale risk technology systems. Designs complex architectures, develops secure production code, optimizes Spark clusters and data pipelines, and applies Python, PySpark, SQL, AWS, and Databricks. Establishes AI-assisted engineering governance, improves software quality and automation, analyzes large datasets, and leads technologists in delivering resilient, scalable applications.

Leads development of resilient, scalable software and AI/ML platform services using Python and Java. Drives AI-assisted engineering practices, mentors teams, integrates enterprise systems, and builds fraud-detection and risk-assessment ML pipelines. Designs feature-store, model deployment, monitoring, and agentic AI components with production guardrails, governance, security, and auditability. Collaborates with architects, data scientists, business stakeholders, and infrastructure teams in an agile environment.

Leads personalization and customer insights product strategy across mobile, web, contact center, branch, and marketing channels. Translates research, analytics, and customer journeys into roadmaps, requirements, experiments, recommendation and next-best-action solutions. Partners with data science, machine learning engineering, channel, risk, privacy, and compliance teams to deliver scalable products while ensuring data governance, consent, fairness, auditability, reliability, and responsible AI practices.

Develop and maintain Java and React applications using Spring Boot, microservices, AWS ECS, and DevOps practices. Build scalable cloud applications, data pipelines, integrations, and tooling; optimize performance and reliability; troubleshoot production issues; and collaborate with designers, product owners, engineers, and business stakeholders. The role also involves data-driven insights, Agile delivery, CI/CD, code reviews, and exploring AI-enabled user interface solutions.

Manages a portfolio of 100–130 small-business clients, acquiring and retaining relationships while providing customized banking, deposit, cash management, credit, and financial advice solutions. The role develops new business, conducts client meetings, coordinates referrals to internal specialists, balances client needs with risk, follows regulatory requirements, and supports assigned branches.

Lead strategy, discovery, roadmap, backlog, user research, Agile delivery, and lifecycle management for a unified Global Security experience product. Partner with engineering, UX, analytics, security operations, intelligence, aviation, and workforce screening teams to improve operator workflows, decision support, data governance, compliance, reliability, and measurable user outcomes. Define requirements, metrics, releases, and dashboards while coordinating testing, deployments, and issue resolution.