Weekend Algorithmic Trading Quant Jobs in Connecticut

This is a hybrid role (3 days in office / 2 days remote).

About Your Team:

Shape the Future of Market Integrity at Interactive Brokers.

Interactive Brokers (IBKR) seeks a Quantitative Software Engineer to join our elite transaction surveillance team. You will leverage your quantitative skills and experience in financial markets to develop sophisticated detection systems that identify market manipulation, fraud, and money laundering attempts before they impact market integrity. Your work will directly influence how one of the world's largest electronic brokers protects the financial ecosystem.

What will be your responsibilities within IBKR:

• Architect next-generation surveillance models to detect emerging manipulation patterns across global markets
• Partner with compliance leadership to ensure surveillance systems meet and exceed regulatory expectations
• Translate your experience into algorithms that identify suspicious trading and cashiering activity with high accuracy
• Conduct sophisticated data analysis on massive financial datasets (hundreds of millions of daily orders, millions of daily trades)
• Evaluate model performance to optimize detection accuracy while minimizing false positives
• Document methodologies to withstand regulatory scrutiny and examination.

Which skills are required:

Attention Candidates: If your experience is exclusively in bank risk departments building, VAR models or similar frameworks, please note this role involves fundamentally different expertise in surveillance technology and compliance systems.

• Bachelor's degree in Computer Science, Mathematics, Statistics, Physics, or related quantitative field
• Strong programming proficiency in Python
• Professional experience: 5+ years (3+ for Master's, 1+ for PhD) hands-on experience in market surveillance
• Domain expertise in at least one of:
  • Large-scale financial data analysis (orders, trades, market data)
  • Market manipulation detection methodologies (spoofing/layering, insider trading, money laundering, fraud, etc.)
  • Regulatory-driven feature engineering

• Communication excellence in explaining complex surveillance concepts to diverse stakeholders.

Good to haves:

• Regulatory background at the SEC, FINRA, or major securities exchanges
• Advanced degree in a quantitative discipline
• Mastery of Python data science tools (pandas, scikit-learn, xgboost, catboost)
• Deep understanding of market microstructure and trading strategies
• Specialized knowledge in AML and market manipulation typologies

To be successful in this position, you will have the following:

• Self-motivated and able to handle tasks with minimal supervision.
• Superb analytical and problem-solving skills.
• Excellent collaboration and communication (Verbal and written) skills.
• Outstanding organizational and time management skills.