Our Client 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.

What will be your responsibilities-

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.

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.