Top Tech Jobs & Startup Jobs in NYC, NY

Design, deploy, and operate ultra-low latency market data and trading networks. Optimize multicast and TCP/IP behavior, perform packet-level and Corvil/cPacket analysis, integrate FPGA/NIC acceleration, lead incident response, design resilient Cisco/Arista datacenter architectures, and drive automation (Python/Ansible) for deterministic, high-throughput trading systems.

Leads Morgan Stanley’s global internal audit strategy for cybersecurity, information security, and cyber resilience across the Firm and banking entities. Directs risk-based coverage of AI, digital assets, quantum readiness, cloud, identity, network, data, incident response, resilience, and third-party security. Evaluates controls against regulatory and industry frameworks, oversees findings and remediation, advises senior management, regulators, the Board, and Audit Committee, and manages and develops a global audit team.

Leads the analytics strategy for Financial Planning within Wealth Management. Builds scalable data infrastructure, reporting, dashboards, KPI frameworks, and advanced analytics to improve client engagement and planning effectiveness. Partners with business, technology, sales, risk, legal, and compliance teams to unify data, establish governance, and resolve data gaps. Leads analytics automation and AI adoption while managing, mentoring, and scaling an analytics team and offshore resources.

Develop, maintain, and improve quantitative pricing models for fixed-income products. Support trading and risk management through pricing, hedging, and analytics. Partner with traders, sales teams, controllers, model risk groups, and technology teams to explain market dynamics, develop business opportunities, document models, and secure approvals. Apply stochastic calculus, mathematical finance, credit and interest-rate derivatives modeling, Monte Carlo simulations, Python, and C++ in a front-office environment.

Reviews and validates internal liquidity stress testing and net interest income sensitivity models across global markets. Challenges model assumptions, assesses model limitations and risks, develops monitoring and compensating controls, prepares validation reports, responds to regulatory and audit requests, and communicates findings to senior stakeholders and governance committees. Collaborates with model risk, treasury, finance, regulatory, and risk teams across the model lifecycle.

Leads workplace analytics strategy, KPI governance, executive reporting, business intelligence, and strategic insights for Morgan Stanley at Work. Oversees stock plan, client, participant, sales pipeline, financial, and growth analytics; identifies cross-sell and conversion opportunities; improves data quality, governance, reporting scalability, and AI-enabled analytics. Partners with senior business, technology, finance, product, and data leaders while managing and developing the analytics team.

Lead end-to-end design, development, and delivery of enterprise Generative AI and ML solutions. Architect scalable LLM, RAG, and agent-based systems, drive technical decisions, implement production-ready MLOps/CI-CD, and mentor engineers. Collaborate with product and business stakeholders, ensure monitoring, security, and operational support, and evaluate emerging AI technologies to improve delivery.

Provides comprehensive administrative support to multiple senior professionals, including calendar and phone management, meeting and event coordination, domestic and international travel arrangements, expense reporting, document preparation, invoice processing, team site administration, onboarding support, and office services. The role requires strong organization, discretion, communication, attention to detail, and proficiency with Microsoft Office and collaboration platforms. It requires in-office attendance five days per week.

Perform independent price verification and valuation controls for global commodities portfolios, including energy derivatives and structured products. Review pricing and risk models, challenge valuations with Trading, Risk, Quantitative, and Technology teams, analyze market impacts, identify control gaps, and support regulatory deliverables and automation. The role also includes supervisory responsibilities and requires strong financial, quantitative, analytical, and communication skills.

Provides senior-level client service and operational support to Financial Advisors and Private Wealth Advisors. Responsibilities include managing client relationships, coordinating meetings and follow-ups, supporting account transactions, preparing financial plans and reports, assisting with digital and in-person marketing, conducting research, and helping execute business development plans. The role also provides team coverage, assigns work, maintains procedural knowledge, and supports client and prospective client meetings.