Top Tech Jobs & Startup Jobs in NYC, NY

Lead firmwide data governance strategy and controls for Lazard's Financial Advisory and Asset Management businesses. Architect enterprise data governance, embed controls in data architecture and pipelines, manage sensitive data security and regulatory compliance, own governance toolchain, and build a data stewardship organization while partnering with Legal, Compliance, and InfoSec.

Advise clients and senior bankers on equity capital markets transactions (IPOs, follow-ons, direct listings, PIPEs, convertibles, block trades, ATMs). Manage deal processes from development through execution, prepare client materials, track market activity, interact with senior executives, and supervise Associates and Analysts.

Lead global treasury overseeing the firm’s liquidity and funding across 40+ jurisdictions. Build treasury systems and cash forecasting, centralize banking relationships, manage liquidity investments, FX hedging, covenant compliance, and governance. Partner with CFO, Risk, Internal Audit, and Finance to strengthen controls and operational resilience.

Provide financial modeling, analysis, and presentation support for restructuring and liability management engagements. Interact with senior bankers and clients, assist in deal execution and business development, and mentor junior analysts on modeling and best practices.

Lead financial analyses and model review; prepare client presentations and marketing materials; manage deal processes; interact with senior clients; supervise and mentor Associates and Analysts; provide M&A, restructuring, and strategic advisory across telecom and digital infrastructure sectors.

Define and deliver AI-enabled products for advisory and asset management. Own product vision and roadmap, identify and prioritize AI use cases, translate business needs into product requirements, partner with AI/data/engineering teams, oversee lifecycle from proof-of-value to production, ensure governance, metrics, and stakeholder communication.

Own and validate quantitative financial datasets used for factor and risk models: onboard and reconcile vendor sources, build automated data validation/monitoring, investigate anomalies, write Python/SQL pipelines, maintain documentation and runbooks, and collaborate with internal teams and vendors to productionize and maintain reliable data workflows.

Work on Telecom & Digital Infrastructure M&A and advisory engagements by building financial models, preparing client presentations, interacting with senior clients, managing deal processes, and mentoring analysts.

Perform fundamental equity research across US Industrials sub-sectors: develop primary sources, analyze financials, build valuation and comparable models, quantify risk/reward, assess sector and macro risks, and communicate investment ideas.