Trading Strategy Developer Intern

New York
Trading /
Internship /
On-site
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).
$70,000 - $90,000 a year
(annualized; pro-rated for internship term)
• Opportunity to convert to a full-time, salaried role upon successful internship completion
• Hands-on access to production trading systems and senior quantitative engineers
• Collaborative, flat-structured team with global reach