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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.