Top Tech Jobs & Startup Jobs in NYC, NY

Leads enterprise Applied AI initiatives across Technology, including GenAI use-case prioritization, onboarding, delivery planning, governance navigation, risk mitigation, reporting, and adoption measurement. Partners with business and technology teams, manages roadmaps, backlogs, dependencies, KPIs, and dashboards, and communicates program health and outcomes to senior leadership. Builds communities of practice and drives process improvements across cross-functional teams using Agile and waterfall methodologies.

The role involves data-driven analysis, developing AI solutions and software tools, and collaborating with IBD teams to enhance productivity, revenue, and risk management.

Manage hedge fund and liquid alternative investments for institutional, family office, and ultra-high-net-worth clients. Responsibilities include sourcing and diligencing hedge fund managers, constructing customized portfolios, recommending allocations and sizing, monitoring performance and risk, supporting client engagements, preparing investment materials, and developing analytical tools and reporting workflows. The role requires strong allocator experience, quantitative analysis, client communication, and knowledge of global capital markets and alternative investment strategies.

Develop and maintain enterprise applications using Java, microservices, distributed systems, relational databases, and cloud-native technologies. Collaborate with Agile teams throughout the software development lifecycle, implement data models and knowledge graphs, and build RESTful APIs, ETL pipelines, and containerized applications. Apply DevOps, CI/CD, automation, fault tolerance, observability, and Linux-based development practices using technologies including Spring, Kafka, Docker, Python, Stardog, Grafana, Splunk, Jenkins, and GitLab CI.

Lead strategy and execution for Morgan Stanley’s Path to Advice team, developing initiatives that drive client and asset growth across wealth management channels. Responsibilities include corporate and program strategy, executive presentations, test-and-learn campaigns, cross-functional program leadership, data-driven analysis, operational improvement, and coordination with Financial Advisors and field management. The role supports initiatives involving Generative AI, automation, lead generation, strategic partnerships, and new product areas.

Provide day-to-day product support for Securities Based Lending (SBL), assisting Financial Advisors, Private Bankers, and service teams. Review and approve documents, prepare bank reference letters, deliver training, analyze business trends and reporting, escalate complex transactions, and collaborate with product, risk, legal, operations, and credit partners to improve SBL products and processes.

The Business Development Manager drives asset growth across assigned wealth management markets. Responsibilities include developing strategic business plans, coaching and training Financial Advisors, positioning products and tools, coordinating regional and national initiatives, conducting book reviews, executing campaigns, facilitating resources, and partnering with internal product teams to improve advisor capabilities and results.

Leads U.S. bank regulatory capital reporting, calculations, forecasting, stress testing, capital allocation, and ROE analysis. Oversees Basel, RWA, leverage, capital buffer, FFIEC, and DFAST reporting requirements; manages regulatory, audit, and model risk reviews; and leads a team of capital reporting professionals. The role drives regulatory implementation, process automation, controls, technology enhancements, and capital optimization while advising senior management and regulatory stakeholders.

Manage day-to-day funding and collateralization processes, resolve breaks and ad-hoc issues, lead and develop direct reports, drive process improvement and system renovation, ensure resource coverage for business-as-usual commitments, and support risk, audit, and control initiatives.

Join a central trading and risk team supporting a market-neutral equity platform. Perform factor attribution, portfolio exposure analysis, portfolio construction and optimization, stress testing, and research new alpha signals. Build Python-based analytics and automation, monitor fund-wide risks, partner with trading and portfolio managers, and communicate insights to senior leadership to improve investment performance.