Top Tech Jobs & Startup Jobs

Leads Agile Scrum processes for geographically dispersed software development teams. Coaches Product Owners and squad members, facilitates ceremonies, manages backlogs, coordinates releases across development, testing, UAT, and production, and tracks requirements, defects, risks, metrics, dependencies, and impediments. The role supports predictable delivery within budget and timelines while promoting continuous improvement, servant leadership, collaboration, and sustainable team execution.

Leads global liquidity risk and stress testing teams, reviews and approves risk deliverables, monitors member liquidity exposures and market conditions, identifies and escalates emerging risks, ensures policy and control compliance, manages audit and regulatory remediation, and supports risk-related projects and process enhancements.

Manage full-cycle campus recruiting for U.S. early-career hiring, including candidate sourcing, interviews, offers, internship programs, campus events, diversity recruiting, and school partnerships. Advise hiring managers, track recruiting results, maintain recruitment calendars, improve processes, and support talent acquisition and HR initiatives while ensuring compliance with employment laws and risk controls.

Oversee market risk management for DTCC clearing organizations, including daily margin review, exposure monitoring, liquidity assessment, market-condition analysis, and risk mitigation. Review and approve deliverables, identify model and reporting errors, ensure policy adherence, and manage remediation for audit and regulatory findings. Lead risk-related projects, process enhancements, and stakeholder collaboration supporting new and existing products.

Monitor and evaluate member market risk exposures, liquidity needs, margin requirements, and settlement obligations. Analyze market conditions, trading patterns, liquidity usage, and margin increases; identify and escalate emerging risks; support risk mitigation; educate clients; and collaborate with credit risk, liquidity risk, operations, quantitative risk, and relationship management teams.

Leads digital asset product delivery by translating strategy into integrated roadmaps, coordinating cross-functional product and technology squads, managing priorities, dependencies, budgets, risks, governance, and stakeholder expectations. The role maintains hands-on execution accountability, drives measurable business outcomes, supports client-centric improvements, and coaches teams to strengthen delivery capabilities and predictability.

Supports IT governance, metrics management, and reporting enhancements by gathering requirements, documenting decisions, analyzing trends, and coordinating business and technology teams. Maintains the IT Metrics Portal and Power BI improvements, facilitates metric reviews, prepares executive presentations, and tracks governance committee actions. The role also supports audits, regulatory requests, control testing, and the responsible use of automation and AI to improve reporting and analysis.

Leads reliability, resilience, and production support for mission-critical financial-market applications. Responsibilities include major incident management, automation, observability, service-level monitoring, production readiness, release management, disaster recovery, risk and compliance controls, and operational improvement. The role partners with engineering, infrastructure, cloud, cybersecurity, and operations teams while mentoring engineers and advising during critical production events.

Leads enterprise network architecture, operations, reliability, security, cloud modernization, automation, governance, and compliance. Oversees LAN, WAN, data center, SD-WAN, hybrid cloud, and client connectivity platforms while managing incidents, performance, recovery, vendors, audits, and strategic roadmaps. Builds and develops a high-performing network engineering team, drives infrastructure automation with Ansible and Python, and communicates risks and initiatives to senior leadership.

Shape and improve DTCC’s enterprise AI governance framework. Review and challenge AI use cases, manage lifecycle governance, maintain AI inventories and attestations, develop risk metrics and reporting, support audit and regulatory readiness, and advise product, engineering, risk, compliance, legal, and data stakeholders on responsible AI controls and standards.