Anti Capital is a 25-person proprietary trading firm operating in both cryptocurrency and traditional equity markets. With offices in New York and Taiwan, we move fast, think independently, and push the boundaries of market-making. As an early member of the Nexus team, you’ll help build and refine our trading infrastructure end-to-end.
You’ll work directly with our Portfolio Manager to:
Harden and extend our market-making engineRefine and refactor our backtesting frameworkManage and maintain exchange connectionsCollaborate on strategy design and alpha-signal integrationMonitor live strategy performance and respond to incidentsThis is not a cookie-cutter internship. You must be highly self-driven, intellectually curious, and comfortable making architectural and tactical decisions with minimal hand-holding.
Key Responsibilities
System Robustness: Identify and fix bottlenecks in our quoting and execution pipelines.Backtester Maintenance: Rewrite, optimize, and document core backtesting modules for speed and accuracy.Exchange Connectivity: Build and maintain stable REST/MS & WebSocket clients to various venues.Strategy Development Support: Prototype new strategies or enhancements around existing alpha signals.Production Monitoring: Implement and operate health checks, alerts, and automatic/reactionary fixes for live strategies.
Required Qualifications
Pursuing or recently completed a degree in Computer Science, Engineering, Mathematics, or similar.Solid programming skills: Rust is a must; Python or TypeScript experience a plus.Fundamental understanding of financial markets and trading concepts.Excellent problem-solving, debugging, and system-design instincts.Strong written and verbal communication in English.Proven ability to work independently and learn on the fly.
Preferred Skills & Background
Coursework or projects in quantitative finance, algorithmic trading, or statistical modeling.Prior internship or research experience at a trading firm, fintech, or related setting.Deep comfort with Linux, Git, CI/CD pipelines, and telemetry/alerting tools.Strong math background (probability, statistics, linear algebra).
