Top Tech Jobs & Startup Jobs

Lead identification, assessment, and mitigation of technology and AI-related risks; validate AI-assisted risk outputs; partner with product, control, and regulatory stakeholders; execute control governance, issue management, and reporting; monitor control effectiveness and recommend enhancements; apply model development lifecycle knowledge to ensure scalable, secure AI solutions aligned with business objectives.

Lead and execute compliance and operational risk testing: plan and run tests, identify control coverage gaps, assess control design and implementation, coordinate across departments, drive remediation, and improve control evaluation methods and metrics.

Lead payments governance and risk policy oversight for merchant services: review merchant business models, evaluate third-party processor controls, resolve escalations, ensure card network and regulatory compliance, perform onsite client assessments, document prohibited/restricted products, produce executive reports, and drive process improvements across stakeholders.

Lead design and deliver secure, scalable infrastructure platform solutions. Develop and review production code, improve operational stability via automation, drive enterprise agentic AI engineering patterns, evaluate vendors, and lead engineering communities.

Lead development of Python-based quant research and portfolio construction platforms: design, build, test, and operate production-quality code; partner with Quant Research on models, validation, reusable libraries, and AI-assisted engineering practices to improve delivery, security, and resiliency.

Lead firmwide AI transformation by defining portfolio strategy, prioritizing high-impact AI initiatives, building governance and measurement frameworks, advising senior leaders with data-driven narratives, clearing execution roadblocks, and managing a team to deliver measurable strategic and financial value.

Lead planning, execution and delivery of model development projects within Wholesale Credit Risk. Manage stakeholders, resources, timelines, documentation, governance, remediation of audit/regulatory findings, QA, and adoption of new technologies.

Lead rollout strategy and adoption of AI products across the Corporate & Investment Bank. Assess AI tools, influence product roadmaps, track adoption and ROI, enable client-facing teams with AI training, provide technical advisory to clients, and synthesize insights and risks for senior management.

Execute risk-based internal audits across lines of business: plan and perform testing, evaluate control design and operating effectiveness, report findings to management, recommend improvements, and use data analytics and automation to enhance audit efficiency.

Lead infrastructure engineering across cloud, on‑prem, and SaaS environments; set strategy, governance, and AI-assisted workflow standards; manage large cross‑functional teams, budgets, and SLAs; drive risk, security, compliance, automation, and scalable infrastructure solutions using Agile practices.