Top Tech Jobs & Startup Jobs

Leads solution engineering for Trust and Security data and integration platforms. Designs Kafka streaming, batch data publishing, APIs, data stores, schemas, and governance patterns. Develops and reviews secure Java services and pipelines, drives observability and SDLC quality, and guides teams in responsible AI-assisted engineering practices. Provides technical direction across architecture, modernization, operational stability, and enterprise engineering standards.

Define the strategy, roadmap, and priorities for enterprise unstructured data products supporting analytics and AI. Partner with business, data, technology, risk, and control stakeholders to identify opportunities, develop governed reusable data products, lead pilots, secure executive support, measure adoption, and ensure compliance with privacy, governance, records management, and regulatory requirements.

Analyzes operational and financial data to support budgeting, forecasting, capacity planning, and strategic initiatives. Builds cost-benefit business cases, tracks forecast versus actual performance, develops financial and capacity insights, automates processes, and assesses risks. Partners with Finance, Operations, and other stakeholders to improve efficiency, validate reporting accuracy, and support departmental decision-making.

Leads implementation of business development strategies, products, services, and processes for financial advisors and field leaders. Manages project timelines, deliverables, risks, stakeholder relationships, training, and field adoption. Partners across business development, sales, product, and operations teams, analyzes feedback, and drives continuous improvement. Requires extensive financial services experience, active securities licenses, advisor or sales coaching experience, and travel up to 50%.

Trade and structure data center, infrastructure, and real estate loans; lead underwriting, syndication, pricing, and closing processes. Manage the loan book, assess credit, market, business plan, permitting, and power risks, and create complex financial models. Collaborate with credit, legal, market risk, product control, and asset management teams while cultivating client relationships and identifying new lending opportunities. Requires up to 15% domestic travel.

Leads risk and control coverage for Consumer & Community Banking digital products, including agentic AI platforms. Oversees risk assessments, control design, testing, monitoring, issue remediation, governance, and regulatory risk reduction. Partners with product, technology, data, legal, compliance, risk, audit, and cybersecurity teams, manages direct reports, and promotes a proactive control culture.

Lead strategy and delivery for a portfolio of HR data products. Define multi-year roadmaps, prioritize backlogs, translate business needs into requirements, and coordinate execution through launch and continuous improvement. Partner with HR, BI, AI/ML, information architecture, and data engineering teams to deliver governed, high-quality data assets. Oversee data catalogs, metadata, lineage, governance, compliance, and quality practices for talent acquisition and off-boarding data.

Perform market risk coverage for Treasury and Chief Investment Office portfolios, including CCAR stress testing, risk sensitivity monitoring, limit analysis, valuation, and senior management reporting. Develop quantitative risk analytics, evaluate financial models, improve risk processes and automation, and coordinate technology and model implementation initiatives. Analyze fixed-income and derivative portfolios using Python, SQL, Excel, pricing models, and risk methodologies.

Leads software engineering for an external partner API developer portal serving strategic banking API customers. Responsibilities include API platform delivery, collaboration with product and design leadership, enterprise AI-enabled engineering strategy, SDLC automation, governance, security, resiliency, stakeholder alignment, complex project oversight, and talent development across multiple technology organizations.

Lead advanced analytics and AI initiatives using petabyte-scale data. Build production data pipelines, ETL workflows, cloud data solutions, predictive models, NLP and generative AI capabilities, dashboards, and data-quality processes. Manage priorities, milestones, KPIs, risks, and stakeholder communication across data initiatives while partnering with business and technology teams. Apply home lending analytics expertise, mentor junior staff, and establish data management best practices.