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Our client seeks a Quantitative Software Engineer to join their 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.
Job Responsibility:
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
Requirements:
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)