Quantitative Strategist - Trade Surveilance

Vacancy detailQuantitative Strategist - Trade Surveilance $150-400k USDOnsite WORKINGLocation: New York, New York – United States Type: PermanentTrade Surveillance Strategist (Vice President) – New YorkRole 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 ResponsibilitiesDesign, 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.QualificationsPhD 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.Reference: AMC/LMC/G0211#lumcApply for this vacancyYour CV will be sent to the selected department. At no time will your CV be sent outside of Anson McCade without your authorisation.*Mandatory field.Your name*Your surname*Your email address*I confirm I currently have the right to take full time employment at the location for which I am submitting my CVPlease state the locations where you currently have the right to take full time employmentAttach a file (Word or PDF only accepted)MessagePrior to submission of this form, the user acknowledges and accepts Anson McCade's Terms and Conditions of Use + Privacy Policy + Data Protection Compliance Statement* I acknowledge and accept TrustpilotOur OfficesVacancy searchSearch all the vacancies on Anson McCade Select a Practice Area Quantitative Research, Trading & Risk Digital + Analytics Information Technology + Cyber Security Business Change and Transformation + Strategy IT / Software Sales Internal Positions at Anson McCade