Top Tech Jobs & Startup Jobs in NYC, NY

The Quantitative Strategist will develop predictive models, analyze trading strategies, build risk frameworks, and automate research tasks within a collaborative team environment.

The Machine Learning Researcher at Virtu will develop and implement innovative deep learning models to solve complex market problems, collaborating with cross-functional teams and directly impacting business outcomes.

The Trading Operations Specialist manages trade clearance, settlement, and reconciliation while interacting with traders, compliance, and clients, enhancing operational workflows.

Develop and scale high-performance, multithreaded C# desktop trading UI components within an Agile team. Evaluate new technologies, profile .NET memory/performance, write unit tests, collaborate across teams, and manage multiple concurrent projects.

Summer internship for graduate students to research and develop trading models from large datasets. Interns collaborate with senior quants and developers, complete one-to-two projects, receive training, and apply quantitative, mathematical, and programming skills (C/C++, Python, Pandas) to improve algorithmic trading strategies.

Summer internship building and optimizing low-latency trading systems and tools. Interns complete real-world development projects, improve scalability and performance, receive mentoring and training, and work across frontend/backend tasks in Python and Java/C++ environments.

Summer internship working with quantitative strategists to analyze large trading datasets, develop models to improve trading algorithms, complete one to two mentored projects, and participate in training and team events.

Participate in a 10-week, hands-on quantitative trading internship working with senior traders on real trading problems across asset classes. Learn Virtu's trading technology, develop algorithmic strategies, complete mentor-guided projects, and undergo ongoing training including a global training week.

The role involves developing and maintaining trading user interfaces, enhancing performance of C# components, and adapting to project changes while collaborating with teams.

The role involves developing an ML research platform, managing data pipelines, and building tools for simulation lifecycle and performance monitoring in a collaborative environment.