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
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Design, develop, and maintain quantitative models and algorithms to detect suspicious trading behaviour, including spoofing, insider trading, and pump-and-dump schemes.
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Conduct risk assessments and fine-tune surveillance systems for precision and scalability across asset classes and jurisdictions.
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Use quantitative techniques for signal development, back-testing, and simulation validation.
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Work with large-scale datasets to deliver impactful machine learning projects from end to end.
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Partner with trading teams, engineers, ML researchers, and market surveillance officers to ensure high-quality analytics.
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Monitor model performance, conduct code reviews, and mentor peers to uphold robust development practices.
Qualifications
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PhD or Master’s degree in a quantitative discipline (mathematics, physics, statistics, engineering, or computer science).
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Minimum 6 years of experience in capital markets, with expertise in pricing, modelling, and risk management across multiple asset classes.
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Knowledge of automated trading execution protocols, order types, venues, and market structure (advantageous).
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Strong programming skills in Java, C++, or Python.
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Solid understanding of computer science fundamentals, algorithms, data structures, and software design principles.
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Proficiency in mathematical modelling, numerical algorithms, and quantitative analysis.
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Experience with scalable machine learning systems and data analysis (beneficial).
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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.
Reference: AMC/LMC/G0211
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