Top Tech Jobs & Startup Jobs in NYC, NY

Provides middle-office operational support for trading desks, including trade-break resolution, reconciliations, corporate actions, locates, buy-ins, risk controls, and operational data integrity. Coordinates cross-functional projects, supports new strategies, and improves tools, workflows, dashboards, and controls. Requires broad understanding of the trade lifecycle across equities, futures, and options, strong analytical and communication skills, and experience with Excel and Bloomberg.

Build and scale production-grade AI/ML systems for quantitative research. Responsibilities include translating research prototypes into maintainable software, optimizing GPU training and inference pipelines, designing data-loading and batching infrastructure, extending research libraries for agentic workflows, and improving codebase quality, testing, and scalability. The role partners closely with machine learning researchers and requires strong Python engineering, GPU systems experience, and familiarity with modern ML frameworks and agent technologies.

Designs and maintains scalable distributed infrastructure across on-premise and public cloud environments. Evaluates emerging technologies and open-source tools, supports incident response and on-call operations, establishes platform engineering standards, and leads cross-functional initiatives from requirements through adoption. The role enables engineering and data science teams to operate research, simulation, and trading workloads efficiently and reliably.

Develop systematic quantitative signals and alpha models focused on ETF and index trading inefficiencies. Gather, manage, and analyze financial and economic data, including market microstructure datasets, and support portfolio construction and strategy implementation. Collaborate with researchers, portfolio managers, engineers, and trading teams to implement new strategies. The role also involves managing research projects end to end and mentoring junior researchers.

Lead enterprise operational risk control assurance testing across the firm. Build testing frameworks, document processes and controls, evaluate effectiveness, identify gaps and failures, manage remediation tracking, develop risk dashboards, and produce enterprise and corporate risk reporting. Collaborate with risk leads, technical and business stakeholders, and senior leadership while managing projects, schedules, meetings, and consensus-building.

Architects and develops secure authentication, authorization, and identity management infrastructure. Builds software in Python or Go, modernizes legacy systems into cloud-native platforms, improves observability and documentation, evaluates security technologies, makes architectural decisions, leads cross-team initiatives, and mentors engineers while maintaining high security and reliability standards.

Lead engineering and operational support for critical production systems. Develop automation, services, tools, and libraries; improve observability, scalability, availability, and operability; monitor production environments; enforce change management and automated testing; collaborate with software engineering teams on architecture and reliability; and participate in on-call support.

Build and deepen relationships with private banks, wealth managers, family offices, and ultra-high-net-worth investors. Source opportunities, position investment products, guide clients through diligence and onboarding, and provide high-touch ongoing engagement. The role also involves client profiling, presenting complex investment concepts, managing follow-up, optimizing the client platform, and complying with regulatory procedures. Frequent interaction with clients and prospects across the United States is required.

Develop and scale quantitative software, models, systems, tools, frameworks, and libraries supporting machine learning, quantitative research, and trading. Collaborate with research partners to prototype and implement models, design quantitative architectures, optimize performance, and improve scalability. The role requires algorithm development, scientific computing, and expertise with Python-based numerical and machine learning technologies.

Develop and manage AI fluency programs that help employees adopt agentic AI across business functions. Responsibilities include designing curricula, delivering training and workshops, measuring learning outcomes, developing stakeholder adoption strategies, assessing knowledge repositories, and creating systems to capture and organize institutional expertise. The role requires translating complex technical concepts for varied audiences and executing autonomously in an ambiguous, greenfield environment.