Top Tech Jobs & Startup Jobs in NYC, NY

Build and productionize quantitative software for systematic macro research and trading. Responsibilities include prototyping research implementations, designing architectures, analyzing model impacts, evolving research systems, and partnering with quantitative researchers, product managers, engineering leaders, and business stakeholders. The role requires developing expertise across multiple research domains and delivering high-quality software products for macro instruments and markets.

Own full-cycle recruiting for corporate functions, including sourcing, candidate assessment, interviews, offers, closing strategies, and hiring metrics. Build consultative partnerships with HR Business Partners and hiring managers, represent the company externally, manage search-firm relationships, and support cross-functional recruiting projects. The role requires strong organization, communication, collaboration, and independent problem-solving skills, with a focus on attracting diverse, high-quality talent.

Lead the architecture and evolution of quantitative software systems supporting forecasting, simulation, optimization, research, modeling, and trading. Define technical strategies, establish architectural standards, manage technical risks, balance business and long-term goals, serve as a technical expert, and mentor senior engineers. The role requires strong software engineering, quantitative, financial, communication, and relationship-building skills.

Manage financial planning, projections, monthly reporting, and analytics for the Engineering organization, with a focus on compute spend and expense charge-outs. Build financial dashboards, scenario models, and reporting tools using SQL, databases, frontend applications, and AI-assisted development tools. Migrate workflows into scalable SQL models, coordinate data sourcing and validation with Engineering, and establish governance practices for reliable financial data.

Designs, implements, and refines learning and talent development programs in partnership with HR business partners. Responsibilities include assessing development needs, creating leadership and manager programs, scaling successful pilots, supporting enterprise initiatives, analyzing program data, and incorporating learning design trends. The role is a hands-on individual contributor requiring strong consulting, relationship-building, and program execution skills.

Develop and productionize quantitative research systems supporting forecasting, simulation, optimization, modeling, and trading. Collaborate with quantitative researchers to prototype architectures, analyze the impact of engineering work on trading models, evolve core research components, and build expertise across multiple domains. The role requires strong software engineering and quantitative analysis skills, with knowledge of statistical methods, convex optimization, numerical methods, performance optimization, and financial market structures beneficial.

Design, simulate, and test FPGA-based digital logic; develop reusable RTL components, verification environments, tests, and debugging tools. Analyze waveforms, support synthesis and timing workflows, integrate hardware-software interfaces, and collaborate across engineering and quantitative teams. Interns complete a mentored 10-week project and present their findings.

Develop and deploy scalable machine learning, NLP, and LLM systems for unstructured financial data. Lead applied generative AI research, translate academic publications into production solutions, and collaborate with quantitative modeling teams on emerging NLP applications. Responsibilities include maintaining data-intensive production pipelines, prototyping research ideas, and delivering NLP and LLM services across research and production environments.

Develop and maintain software, analysis tools, and trading-platform capabilities that help quantitative researchers explore and implement trading strategies. Partner with researchers and traders to analyze data and performance, support new markets and asset classes, and improve productivity, risk reduction, and trading operations. The role requires strong software engineering fundamentals and programming experience in Python, Java, C, or C++.

Develop sophisticated investment and trading models using statistical techniques, machine learning, and real-world datasets. Conduct end-to-end quantitative research, test investment hypotheses, collaborate with engineers, analyze market behavior, and communicate complex findings. Participate in academic seminars, reading groups, and industry conferences focused on statistics, machine learning, and data science.