Quantitative Model Engineer

Interactive Brokers Group, Inc. (Nasdaq: IBKR) is a global financial services company headquartered in Greenwich, CT, USA, with offices in over 15 countries. We have been at the forefront of financial innovation for over four decades, known for our cutting-edge technology and client commitment.

IBKR affiliates provide global electronic brokerage services around the clock on stocks, options, futures, currencies, bonds, and funds to clients in over 200 countries and territories. We serve individual investors and institutions, including financial advisors, hedge funds and introducing brokers. Our advanced technology, competitive pricing, and global market help our clients to make the most of their investments.

Barron's has recognized Interactive Brokers as the #1 online broker for six consecutive years. Join our dynamic, multi-national team and be a part of a company that simplifies and enhances financial opportunities using state-of-the-art technology.

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.

• →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.

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.

• 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

• 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.