Quantitative Strategist - Trade Surveilance

$150-400k USD

Onsite WORKING

Location: New York, New York - United States Type: Permanent

Trade Surveillance Strategist (Vice President) - New York

Role Overview
This is an opportunity to join a global trade surveillance engineering team dedicated to protecting markets from regulatory and reputational risks. The group builds and operates advanced platforms that monitor trading activity across worldwide markets, using large-scale data processing, quantitative modelling, and machine learning.

With expertise in technologies such as Java, Python, Slang/SecDB, and distributed systems, the team transforms vast volumes of structured and unstructured data into intuitive, high-performance applications. In 2025, significant investment is being made to enhance model quality and expand capabilities.

Key Responsibilities

• Design, develop, and maintain quantitative models and algorithms to detect suspicious trading behaviour, including spoofing, insider trading, and pump-and-dump schemes.
• Conduct risk assessments and fine-tune surveillance systems for precision and scalability across asset classes and jurisdictions.
• Use quantitative techniques for signal development, back-testing, and simulation validation.
• Work with large-scale datasets to deliver impactful machine learning projects from end to end.
• Partner with trading teams, engineers, ML researchers, and market surveillance officers to ensure high-quality analytics.
• Monitor model performance, conduct code reviews, and mentor peers to uphold robust development practices.

Qualifications

• PhD or Master's degree in a quantitative discipline (mathematics, physics, statistics, engineering, or computer science).
• Minimum 6 years of experience in capital markets, with expertise in pricing, modelling, and risk management across multiple asset classes.
• Knowledge of automated trading execution protocols, order types, venues, and market structure (advantageous).
• Strong programming skills in Java, C++, or Python.
• Solid understanding of computer science fundamentals, algorithms, data structures, and software design principles.
• Proficiency in mathematical modelling, numerical algorithms, and quantitative analysis.
• Experience with scalable machine learning systems and data analysis (beneficial).
• Excellent communication and stakeholder management skills in a global, cross-functional environment.

Culture & Benefits
The organisation values diversity, inclusion, and professional growth. Team members benefit from a collaborative environment, development opportunities, wellness programmes, and comprehensive benefits.

Reasonable accommodations are available for candidates with disabilities during the recruitment process.