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 engine
- Refine and refactor our backtesting framework
- Manage and maintain exchange connections
- Collaborate on strategy design and alpha-signal integration
- Monitor live strategy performance and respond to incidents
This 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).
