Top Tech Jobs & Startup Jobs in NYC, NY

A mentorship and career-development program for U.S. university student veterans pursuing investment banking. Participants receive mentorship from Lazard’s veteran community, build professional networks, learn about analyst and associate roles, connect with Financial Advisory groups, and improve their resumes and interview skills.

Leads AI transformation for investment teams by defining the AI roadmap, building and evaluating LLM-powered research tools, and delivering production workflows for portfolio managers and analysts. Responsibilities include technical architecture, backlog and release ownership, RAG and agentic application development, investment data integration, governance, compliance, user adoption, training, and benefits tracking.

Summer Associate supporting Lazard’s M&A and Restructuring teams in New York. Responsibilities include financial analysis and modeling, preparing client presentations, advising on mergers, acquisitions, divestitures, restructurings, capital structure, and strategic transactions, and interacting directly with clients. Associates work within industry-focused teams while receiving formal training, mentorship, and opportunities to collaborate across the firm.

Nine-week summer internship supporting private capital advisory across primary fundraising, secondary advisory, and GP capital advisory. Responsibilities include preparing marketing materials and fund documentation, building financial and portfolio models, managing virtual data rooms and bidder trackers, researching private markets, analyzing portfolios and bids, coordinating investor outreach and due diligence, and supporting M&A and strategic advisory mandates.

Lead finance technology modernization across legacy and contemporary systems. Develop full-stack applications using Python, Angular or React, optimize databases and SQL, build ETL pipelines, and apply AI to reconciliation, analytics, anomaly detection, and workflow automation. Own technology roadmaps, CI/CD pipelines, DevOps practices, software quality, security, scalability, and stakeholder communication within an asset-management environment.

Leads global financial planning, budgeting, forecasting, reporting, financial modeling, performance analysis, and finance transformation initiatives. Partners with senior leadership, regional finance teams, Investor Relations, Middle Office, and IT to deliver actionable insights, Board materials, earnings-call analyses, expense reviews, cash forecasts, and strategic recommendations. Manages one finance professional and oversees reporting improvements, data quality, automation, and process efficiency.

Owns governance, domain modeling, quality, architecture, and delivery oversight for investment operations data products covering holdings, transactions, valuation, NAV, AUM, and flows. Partners with Operations, Accounting, Finance, and Data Engineering to establish certified, AI-ready data products, contracts, lineage, semantic definitions, and consumption paths. Leads through data product owners, influences global stakeholders, and reports roadmap progress, adoption, quality, and process automation.

Manages sales and assets-under-management data operations across third-party distribution channels. Owns data feeds, quality standards, territory and compensation data, Salesforce integrations, ETF reporting, vendor relationships, controls, stakeholder reporting, and process automation. Partners with sales, Finance, technology teams, custodians, recordkeepers, and data providers to resolve discrepancies and improve reporting accuracy.

Leads Lazard’s global services model, translating transformation operating models into delivery plans, transitioning capabilities, establishing onshore and service-center operations, and overseeing ongoing performance. Owns provider governance, commercial negotiations, service levels, productivity, automation commitments, regulatory requirements, risk resilience, continuity planning, and value realization. Partners with senior executives and cross-functional stakeholders to influence delivery sequencing, capacity, readiness, and continuous process improvement across a regulated financial-services environment.

Leads the firm-wide operating framework for deploying and governing AI systems. Owns AI lifecycle operations, production readiness, evaluation, monitoring, security, documentation, governance, and risk controls. Partners with engineering, data science, security, business, and control teams to scale responsible AI capabilities, address threats such as prompt injection and data exposure, and report operational health to senior management.