Trading Strategy Developer Intern

Anti Capital • Internship • New York • 3w ago

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).