Top Tech Jobs & Startup Jobs in NYC, NY

Supports equity research product oversight across Americas, including monitoring research quality, coordinating approvals, planning calls, and managing oversight committee processes. Produces performance metrics and business analytics dashboards, identifies AI-driven automation opportunities, and maintains project governance, documentation, and organizational knowledge. Coordinates stakeholders across teams and regions, surfaces risks and dependencies, and supports continuous improvement within a regulated financial-services environment.

Develop and operate low-latency Java connectivity platforms for equities electronic trading, including exchange and client connectivity, order management, algorithmic access, and direct market access. Optimize performance, concurrency, throughput, testing, monitoring, reconciliation, and application recovery. Partner with business, product, quantitative research, infrastructure, and support teams; resolve complex technology problems; manage projects; mentor junior engineers; and promote engineering best practices and production resilience.

Build strategic partnerships with internal marketing stakeholders, uncover business needs, shape creative and strategic solutions, and connect clients with agency capabilities. Lead account planning, opportunity tracking, strategic intake, governance, and value storytelling while coordinating Creative, Strategy, Data & Insights, and Operations teams. Improve brief quality, identify proactive opportunities, communicate measurable business impact, manage account risks, and expand internal adoption of Skyline’s services.

Provides senior-level administrative support to executives and departments by managing calendars, meetings, correspondence, presentations, travel arrangements, expense reports, invoices, supplies, and ad hoc projects. Coordinates executive appointments and conferences, prepares travel materials, processes administrative requests, and trains other administrative staff. Requires strong communication, organization, attention to detail, Microsoft Office proficiency, and the ability to learn new systems quickly.

Supports the implementation and optimization of Citi Commerce’s AdTech and data infrastructure. The role integrates ad servers, DSPs, CDPs, and measurement platforms; configures tagging, tracking, pixels, and campaign inventory; manages data pipelines and log ingestion; troubleshoots integration and data-quality issues; performs technical QA and validation; and documents system configurations, data flows, and integration specifications.

Lead hands-on development, deployment, evaluation, and governance of enterprise Generative AI and LLM solutions in banking. Build automation, fine-tuning pipelines, semantic layers, RAG and agentic workflows, monitoring systems, guardrails, and adversarial testing frameworks. Partner with engineering, analytics, risk, compliance, legal, and business teams to deliver production AI solutions while supporting model documentation, regulatory compliance, and measurable business outcomes.

Lead Citi’s strategy, roadmap, and execution for AI-powered customer experiences across engagement, rewards, lending, servicing, and relationship growth. Translate customer and business needs into personalized, proactive, and conversational products; align technology, data, design, risk, compliance, and business stakeholders; establish success metrics; and lead product management teams. The role requires influencing senior executives, managing complex transformation initiatives, and ensuring responsible AI deployment in consumer banking.

Design, develop, test, and deploy Web3 components for Citi’s digital assets platform. Build Java and Node.js backend services integrating public and permissioned blockchains, develop and audit smart contracts, manage on-chain events, and support tokenization, custody, and settlement solutions. Collaborate on secure, scalable infrastructure, participate in Agile delivery and code reviews, document architectures, and resolve technical issues across the Web3 stack.

Executes securities lending trades, develops borrower relationships, optimizes institutional clients’ portfolios, and identifies special situations and corporate action opportunities. Ensures compliance with risk controls, counterparty limits, best execution, and fiduciary obligations. Partners with sales, operations, technology, quantitative analysis, and account management teams on client models, reporting, analytics, platform modernization, settlements, and controls. Supports revenue growth, profitability, client expansion, and market commentary.

Performs credit portfolio reviews, derivatives risk and scenario analysis, initial margin calculations, model development and validation, risk data quality checks, and margin dispute resolution. Builds and enhances quantitative risk models and front-office analytical tools using Python, SQL, Tableau, SIMM, VaR, and statistical methodologies. Collaborates with quantitative and IT teams on automation, UAT, market data validation, and regulatory risk reporting across multiple asset classes.