Jobs at Virtu Financial

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

The Trading Operations Analyst manages clearance, settlement, and reconciliation of trades, collaborating with various teams to ensure accuracy and efficiency.

The Quantitative Strategist role involves building predictive models, developing trading strategies, analyzing risks, and automating research tasks in a collaborative financial firm environment.

The Quantitative Strategist will build predictive models, optimize trading strategies, and improve volatility pricing using statistical methods, collaborating with traders and quants.

Develop and maintain Python-based automation tools, database workflows, and system integrations for trading operations. Automate data review, reconciliation, and post-trade controls; troubleshoot production issues; document use cases; and collaborate with traders, operations analysts, and developers to improve workflows and systems. The role requires strong Python and SQL skills, quantitative problem-solving, clear communication, and the ability to translate complex operational problems into practical solutions.

Design and develop RTL for low-latency FPGA and ASIC trading applications, owning hardware designs from specification through verification and production deployment. Improve build, simulation, and verification infrastructure, and coordinate live hardware deployments. The role requires FPGA or ASIC experience, strong SystemVerilog or VHDL and cocotb skills, familiarity with vendor toolchains, and knowledge of high-speed interfaces such as Ethernet, PCIe, and AXI.

Deploy, maintain, test, troubleshoot, and optimize custom FPGA hardware platforms for ultra-low-latency trading. Develop Python applications to control and monitor production hardware, create deployment plans, and evaluate hardware providers and capabilities. Candidates need a computer science or related degree, extensive Python experience, networking knowledge, and familiarity with computer systems and network architecture. Finance experience is not required.

Ten-week client support internship within Virtu Execution Services, supporting institutional and retail clients with trade execution workflow queries in real time. Interns engage with vendors and global clients, develop knowledge of financial markets and Virtu products, solve problems during dynamic interactions, and contribute client feedback to product development and connectivity initiatives. The role is onsite in London for London and Dublin openings and includes a potential online programming assessment.

Ten-week technical internship within Virtu Execution Services, covering algorithm development, technology support, analytics, workflow automation, execution investigation, and process improvement. Interns will work with vendors and institutional and retail clients, apply technology to financial-market products, solve client queries, and collaborate with technical teams. Candidates complete an online programming assessment through HackerRank.

Work with senior traders, quants and engineers to design, operate, and improve high-performance algorithmic trading strategies. Tackle real-market trading problems and complete mentored projects across asset classes during a 10-week Singapore internship.

10-week software engineering internship in Singapore working on low-latency trading systems and trading tools. Interns complete real-world development projects, improve scalability and performance, receive mentoring and training, and may work across frontend/backend tasks.

10-week Singapore internship where quantitative strategists analyze large trading datasets, develop and test trading models and algorithms, complete one to two mentor-led projects, and receive ongoing training and mentorship. Interns apply quantitative, mathematical, and programming skills (C/C++, Python, Pandas) to improve market-making strategies and collaborate with trading, quant, and developer teams.

Interns will work on site-reliability/Core Operations projects supporting deployment, maintenance and optimization of low-latency electronic trading systems. Responsibilities include working with traders and exchanges, system triage, counterparty support, and completing mentor-led development projects within a structured training program.

One-week, in-person January 4–8, 2027 program in Singapore introducing female second- and third-year students to market-making, trading tools, team trading puzzles, and a capstone project. Includes mentorship, programming training, networking with traders and developers, and social events. Applicants may take an online programming test and interviews follow resume screening.

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.

Work with senior traders to design, operate, and improve high-performance algorithmic trading strategies. Apply quantitative analysis to transform large data sets into trading models, solve real-market problems across desks (FX, fixed income, options, ETFs, energy), and collaborate with quants and engineers on strategy enhancements during a hands-on 10-week internship.

Core Operations Engineers at Virtu manage a sophisticated electronic trading system, providing support and optimization in a high-pressure environment.

The Women's Winternship at Virtu offers an immersive experience in global trading for female students, focusing on trading tools, lectures, and teamwork, culminating in a final contest.

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.