Top Tech Jobs & Startup Jobs

Manage Corporate Investment Bank Treasury liquidity reporting, forecasting, budgeting, and analysis. Develop daily and weekly reports, explain liquidity trends and business drivers to senior stakeholders, support LCR, NSFR, and stress liquidity forecasting, and respond to ad hoc requests. Partner with controllers, risk, analytics, and business teams while helping automate reporting and forecasting processes and implement appropriate controls.

Leads software design, development, troubleshooting, and architecture for complex applications. Builds secure production code using Java, Spring, REST APIs, Kafka, PostgreSQL, microservices, and cloud platforms. Drives responsible adoption of AI-assisted engineering tools, establishes validation and secure coding standards, coaches engineers, improves automation and architecture, and contributes to engineering communities and emerging technology initiatives.

Supports program managers with complex client implementations and securities services conversions. Coordinates cross-functional timelines, milestones, workflows, risks, issues, reporting, governance forums, and stakeholder communications across product, operations, technology, vendors, and clients. The role requires strong project management, analytical, communication, influencing, relationship management, strategic thinking, and problem-solving skills, along with Microsoft Office proficiency and at least three years of relevant experience.

Supports Financial Advisors and ultra-high-net-worth clients through onboarding, account maintenance, investment transactions, portfolio reviews, money transfers, and tailored wealth management solutions. Acts as a liaison among clients, advisors, compliance, branch management, and internal teams while ensuring regulatory adherence and high-quality service. Participates in firm initiatives, meetings, and technology-enabled advisory offerings.

Leads the design, development, and delivery of software-defined networking, network automation, and infrastructure management solutions across multi-cloud environments. Builds APIs, automation frameworks, infrastructure-as-code, and CI/CD pipelines while ensuring reliability, security, scalability, and operational stability. Drives responsible AI-assisted engineering practices, collaborates with cross-functional teams, troubleshoots distributed network systems, evaluates emerging technologies, and mentors engineers.

Leads the vision, strategy, roadmap, and execution for employee web and mobile products. Translates employee insights into priorities, oversees product performance and governance, and drives measurable business outcomes. Manages and mentors product managers, aligns design, engineering, and business stakeholders, conducts competitive analysis, and presents strategies to executives. Partners with channel leadership to unify the employee experience across web, mobile, and the Employee Assistant.

Lead technical delivery of secure, scalable software and automation across the SDLC. Design, develop, review, and debug production code; drive automation to remediate recurring issues; lead vendor evaluations and engineering communities; govern AI-assisted engineering practices and cloud-native solutions to improve resiliency, security, and delivery outcomes.

Lead card product delivery programs from ideation through post-release analysis, overseeing launches, refreshes, operational support, UAT readiness, timelines, dependencies, resources, risks, and regulatory compliance. Manage and develop project managers while partnering with executives, stakeholders, and Card Servicing to drive change, improve customer and specialist experiences, and deliver strategic, executive-level insights.

Supports product development and optimization for claims, disputes, fraud, and operations. Conducts user research, analyzes product metrics, maps customer journeys, defines requirements, and writes epics and user stories. Partners with product managers, engineering, and cross-functional teams to identify opportunities, improve products, and integrate AI-powered tools and automation. Contributes to agile delivery, roadmap planning, and meeting product time, cost, and quality targets.

Leads complex, cross-organizational technical programs that institutionalize AI product development lifecycle practices and scale agentic engineering. Responsibilities include defining AI governance, reference architectures, evaluation frameworks, guardrails, observability, risk controls, and delivery standards. Partners with engineering, product, data, cybersecurity, compliance, audit, and risk teams to improve AI delivery flow, manage dependencies, advise senior leaders, and measure outcomes across multi-quarter transformation programs.