Top Tech Jobs & Startup Jobs

Lead and deliver secure, high-quality software solutions for financial planning and analysis. Design, develop, review, and troubleshoot production code; drive adoption of enterprise AI-assisted engineering practices; leverage AWS and big-data technologies like Spark; evaluate vendors; automate remediation to improve operational stability.

Develops treasury management business and manages multinational corporate client relationships. Responsibilities include prospecting, revenue growth, consultative selling, strategic treasury solution development, business process reviews, collaboration with banking and product teams, thought leadership, and portfolio risk and profitability management.

Lead product strategy and roadmap development for Chase Offers’ digital advertising platform. Drive discovery, prioritize features and user stories, assess business and technical value, and coordinate technology development in a matrixed organization. Serve as an ad technology subject-matter expert, partner with engineering teams on requirements and estimates, manage sprint execution, remove blockers, oversee testing, and present product demonstrations to stakeholders.

Own daily P&L and risk substantiation for CIO/Treasury desks, lead Front Office signoff, oversee junior team controls, reconcile system feeds, run Market Risk controls (VaR back-testing), support new product onboarding and booking strategy, drive process improvements, partner across functions globally, and support CSA, SOX and BCC control frameworks.

Lead governance and controls for large-scale technology programs across Business Banking Technology. Manage risks, audits, remediation commitments, dependencies, and executive reporting while coordinating engineering, product, controls, compliance, and audit stakeholders. Develop program plans, governance routines, action plans, and leadership materials. Drive issue resolution, continuous process improvement, change adoption, and AI-assisted program management practices with appropriate validation and data handling.

Develops end-to-end data science and generative AI solutions for payments and merchant services. Responsibilities include designing prompts, building chat assistants and workflow automations, creating Python and SQL data pipelines and Tableau dashboards, testing and monitoring AI models, developing algorithms and data models, and delivering customer insights and analytics. The role collaborates with business stakeholders and data teams to improve decision-making, automate processes, and support commercial growth.

Own and scale the foundational agentic capability across web and mobile by defining reusable building blocks, conversational foundations, and cross-channel frameworks. Partner with Product, Design, and Engineering to write PRDs, epics, and user stories, maintain the backlog, track product metrics, and establish governance, documentation, and adoption pathways to ensure scalable, resilient, consistent agentic experiences.

Own the Workforce data domain architecture, including canonical models, conformed dimensions, curated Databricks datasets, semantic-layer enablement, governance, lineage, data quality, and SLAs. Translate Finance and business requirements into standardized definitions, KPIs, data products, and controls while partnering with Technology, Data, Finance, and Product stakeholders to improve reporting trust and reduce reconciliation effort.

Lead complex projects and programs across Trade & Working Capital Operations, aligning initiatives with business priorities and regulatory standards. Direct a global team, partner with product, technology, risk, compliance, audit, and legal stakeholders, and drive risk reduction, process improvement, client experience enhancements, and operational efficiency. Prepare ROI analyses and executive reports, mentor team members, monitor trade finance trends, and promote continuous learning, inclusion, and high performance.

Build and manage scalable data solutions, models, applications, and reusable data assets for Securities Services Finance. Analyze large datasets using SQL, Python, Tableau, Alteryx, or similar tools; automate reporting; gather requirements; lead project delivery; and partner with finance, product, operations, and technology stakeholders. The role also identifies AI and machine learning opportunities, establishes analytics standards, and delivers trusted self-service data and insights for decision-making.