Top Tech Jobs & Startup Jobs in NYC, NY

Entry-level software engineers build scalable infrastructure, cloud environments, trading systems, data-ingestion platforms, deployment tools, and productivity applications. Responsibilities vary by assigned engineering team and include developing reliable, high-performance systems supporting quantitative strategies and trade execution. Candidates should have a technical or quantitative degree, strong programming abilities, large-scale systems experience, analytical skills, and enthusiasm for building quality software.

Research and develop hypotheses using diverse real-world datasets, apply advanced methodologies to extract meaningful signals, and rigorously test theories with engineers and business stakeholders. The role involves literature reviews, quantitative data analysis, clear communication of complex ideas, and ongoing engagement with the academic research community.

Build and optimize low-latency, high-throughput trading systems and research infrastructure for a wholesale market-making business. Collaborate with quantitative researchers, modelers, and traders to solve business problems and deliver engineering improvements that directly affect trading performance and revenue.

Software engineering interns complete a 10-week project with mentorship, building scalable infrastructure, cloud and storage systems, trading platforms, data ingestion pipelines, model deployment environments, and productivity tools. Responsibilities emphasize reliability, high performance, low latency, experimentation, and collaboration across engineering and corporate teams. Interns are matched with a specific team before starting and present their completed project at the program’s conclusion.

Develop and test sophisticated investment models using scientific methods, machine learning, quantitative techniques, and large datasets. Conduct independent research, create investment ideas, collaborate with engineers, analyze real-world data, and communicate complex findings. Participate in research discussions, academic seminars, and industry conferences covering statistics, machine learning, and data science.

Build and support ultra-low-latency electronic trading environments across global markets. Responsibilities include developing automation and integration systems, deploying features, monitoring real-time transactions, resolving incidents, managing trading infrastructure and connectivity, capacity planning, and improving technical and operational practices with software and infrastructure teams.

Analyzes structured credit investments, including CLOs, CMBS, ABS, and RMBS, across new-issue and secondary markets. Responsibilities include underlying asset analysis, credit and relative-value research, quantitative alpha strategy development, portfolio construction, and supervised trade execution. The role requires Python programming, large-dataset analysis, structured finance experience, and familiarity with platforms such as Intex, Valitana, and Bloomberg.

Own the architecture, data model, APIs, client libraries, user interface, reliability, and long-term evolution of a production configuration management graph database. Lead development, testing, deployment, observability, permissions management, and technical design for foundational security infrastructure. Mentor engineers and collaborate with company data owners to maintain accurate entity data.

Develop and productionize software for portfolio research, optimization, forecasting, and simulation. Partner with quantitative researchers to prototype architectures, accelerate research, analyze model impact, evolve core systems, and build expertise across portfolio research domains. The role requires strong software engineering and quantitative skills, including mathematical optimization, linear algebra, statistical methods, and numerical methods.

Develop and modernize secure authentication, authorization, identity management, and configuration infrastructure using Java, Go, or Python. Lead architecture decisions for cloud-native migrations, improve observability and reliability, mentor engineers, conduct code reviews, evaluate security technologies, and drive cross-team initiatives. Serve as a technical authority for security infrastructure while contributing to documentation, open source, and security posture improvements.